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A?uү-{h)հ_FK]VYY=g6ˉ;^'ckmxv6N׉;^'ckmxv6N׉;^'ckmxv6N׉;^'ckmxv6N׉;^'ckmxv6N׉;^'ckmxv6N׉;^'ckmxv6N׉;^'ckmxv6N׉;^'ckmxv6NĖ)cT|4\y;bFfW [0Yp3|?χك:H'~.λ,L"$7|]_(\J@Z; PKq4hIT3|*c_]glЛA}whk7 feW~XBh4MB[;.k0m*3rX$?f^XwZ?å>Iv<ϨǤ]j6Vr3^,X_ +{;X睴Kf|9$mmfV o]y~e_xOz'%m4yWz}Ozže{2A_O4]m?ewٴKf ,vW_O4]m?ewٴKf ,vW_O4]m?ewٴKf ,vW_O4]m?ewٴKf ,vW_O4]m?ewٴKf ,vW_O4]m?ewٴKf ,vW_O4]m?ewٴKf ,vW_O4]m?ewٴKf ,vW_O4]m?ewٴKf ,vW_O4]m?ewٴKf ,vW_O4]m?ewٴKf ,vW_O4]m?ewٴK&_o?=H?p*qm1o᥃fNp6ic᥎ i;+/ͧXp6ic᥎ i;+/ͧXp6ic᥎ i;+/ͧXp6ic᥎ i;+/ͧXp6ic᥎ i;+/ͧXp6ic᥎ i;+/ͧXp6ic᥎ i;+/ͧXp6ic᥎ i;+_f ,%ߣCcsN1~^_^zGO- _ű y}N H_>z>+ۅkѾ(8   >*QUATRO CommunicationsLADI&ViQ (1/2)P<FilterX: the content analyserDAccDAccDAcc:&QUATRO ArchitectureNhttp://www.qhttp://www.q/>http://whttp://w/f$http://www.aezq.de&http://www.aezq.de/D/ 0|DTimes New RomanTT,ܖ 0ܖDArial BlackmanTT,ܖ 0ܖ" DArialBlackmanTT,ܖ 0ܖ0DVerdanaackmanTT,ܖ 0ܖ"@DWingdingskmanTT,ܖ 0ܖ@ .  @n?" dd@  @@`` $ yU8D $:SA  j  PUCG I  " #    X $vR !$  v >[w~+ K CH OpR$i`aFi=b$ D@h}HSZF'b$8vyzZ$8R$Ce_o ib$5raeבḆg>;u( b$(o(n=  Pb$w9O*Hn*uQb$yEcn} e, b$C޲+ɡa80b$ɐXkiׄv"b$;*G)2)=MHb$>Pj)jjId:b$ _.. e3g?( b$m;GNv5b$%. u\r2{/fNb$z5ݗ"OIt67Vb$2s~<.Wծs{T]R$GEFAƛTb$gnA=3E`9R$M\Y~bc AA1? f@3f8 & ʚ;q8ʚ;g4KdKdp 0 ppp@ <4!d!d w 0T,<4dddd w 0T,g4GdGdq 06p pP<4BdBd w 0T,x___PPT10X ZZ.@(Vangelis Karkaletsis.X___PPT9:z&? ,O = Quality Labelling of Web Content"!   ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, W3C WCL-XG, MedIEQ Concluding RemarksB| d d d|, v&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes  III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence-based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteria Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#SKg /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$QUATRO develops tools to support the exploitation of its labeling schema QUATRO proxy server (QUAPRO) Takes as input a URL, which comes either from a search engine application or a browser Examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, called Label Display Interface (LADI)I0Z20Z20Z2p0Z2C0Z20Z2IpC  , !QUATRO project - III Architecture"$(  QUATRO: LADI (  QUATRO: ViQ ( Proposal for a labeling platform!!$ nQUATRO addresses the needs of both the labeling operator and the end-user (site s visitor) QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required8 28,[! The MedIEQ proposal - I$& Web content analysis must involve in labeled web sites: monitoring the label s validity with respect to the site s content and informing the labeling operator exploiting technology for spidering web sites, to locate interesting pages, and extracting information from them in unlabeled web sites: locating these sites first, characterizing and storing them into a web directory exploiting technology for web crawling, site spidering, and information extraction v" 2 2 2 2 2"  ,  The MedIEQ Proposal - II$&,The MedIEQ Project  I & zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!+The MedIEQ Project - II Project Objectives(, $&!Odevelop a scheme for the quality labelling of medical web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) P0Z2Pr   5  J PThe MedIEQ Project - III Indicators for measuring the achievement of objectives(Q $7&FReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!HWCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February and is scheduled to complete in June& Nz0Z2Z0Z2Q0Z2zZQConcluding &  ( zQuality labeling an application area for content analysis and knowledge management technologies Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *a 2 2aZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? 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ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, W3C WCL-XG, MedIEQ Concluding RemarksB| d d d|, v&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes   !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~                           ! 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ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, W3C WCL-XG, MedIEQ Concluding RemarksB| d d d|, v&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes  III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence- > based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteria Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#SKg /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$TQUATRO develops tools to support the exploitation of its labels QUATRO proxy server (QUAPRO) Takes as input a URL, either from a search engine or a browser, and examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, the Label Display Interface (LADI)@0Z20Z20Z2p0Z2C0Z20Z2@pC  , !QUATRO project - III Architecture"$(  QUATRO: LADI (  QUATRO: ViQ ( Proposal for a labeling platform!!$ nQUATRO addresses the needs of both the labeling operator and the end-user (site s visitor) QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required8 28,[! The MedIEQ proposal - I$& Web content analysis must involve in labeled web sites: monitoring the label s validity with respect to the site s content and informing the labeling operator exploiting technology for spidering web sites, to locate interesting pages, and extracting information from them in unlabeled web sites: locating these sites first, characterizing and storing them into a web directory exploiting technology for web crawling, site spidering, and information extraction v" 2 2 2 2 2"  ,  The MedIEQ Proposal - II$&,The MedIEQ Project  I & zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!+The MedIEQ Project - II Project Objectives(, $&!Odevelop a scheme for the quality labelling of medical web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) P0Z2Pr   5  J PThe MedIEQ Project - III Indicators for measuring the achievement of objectives(Q $7&FReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!HWCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February and is scheduled to complete in June& Nz0Z2Z0Z2Q0Z2zZQConcluding &  ( zQuality labeling an application area for content analysis and knowledge management technologies Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *a 2 2aZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? Is this the right way to proceed?~o0d210d2=0d2o0d250d2o1=o56  M 5 Useful Links |QUATRO site http://www.quatro-project.org MedIEQ site http://www. medieq.org WCL-XG http://www.w3.org/2005/Incubator/wcl  %  %n    0 ) 08N 0X| Quality Labelling of Web Content&! $$  /TP@\\.\DISPLAY1  0 L0  F(  x  c $*QUATRO Communications  !"#$%&'()*+,-./0123456789:<՜.+,D՜.+,,      On-screen Show HomeOffice U0 6Times New Roman Arial BlackArialVerdana WingdingsCompany Handbook!Quality Labelling of Web Content Contents'Quality labels / trustmark schemes - I(Quality labels / trustmark schemes - IIcQuality labels / trustmark schemes III an example: the WMA label for health related web contentXQuality labels / trustmark schemes IV some facts about the health related web contentWQuality labels / trustmark schemes V some facts about the health related web contentSlide 8Slide 9 Existing labeling processes - I!Existing labeling processes - II"Existing labeling processes - III!Existing Labeling Processes - IV Existing Labeling Processes - V'Need for new labeling technologies I(Need for new labeling technologies II)Need for new labeling technologies III(Need for new labeling technologies IV'Need for new labeling technologies V7Technology for creating machine processable labels - I8Technology for creating machine processable labels - II9Technology for creating machine processable labels - III8Technology for creating machine processable labels IV7Technology for creating machine processable labels - V8Technology for creating machine processable labels - VI+Technology for maintaining the labels - I ,Technology for maintaining the labels - II -Technology for maintaining the labels - III ,Technology for maintaining the labels - IV 0Technology for locating unlabeled web resources;Technologies for improving accessibility to the labels - I<Technologies for improving accessibility to the labels - IIQUATRO project - IQUATRO project - IIQUATRO project - III!QUATRO project - IV ArchitectureQUATRO project: LADIQUATRO project: ViQQUATRO project - VMedIEQ Project I(MedIEQ Project - II Project ObjectivesMedIEQ Project - IIIPThe MedIEQ Project - IV Indicators for measuring the achievement of objectives"W3C Content Label Incubator Group Concluding Concluding Useful Links!Quality Labelling of Web Content  Fonts UsedDesign Template Slide Titles0d0emQY _PID_HLINKSVersionLCIDAB331,47,QUATRO Communications 328,44,LADI329,45,ViQ (1/2)&336,52,FilterX: the content analyser 337,53,DAcc 337,53,DAcc 337,53,DAcc327,43,QUATRO Architecturehttp://www.q/ http://w/http://www.aezq.de/  / ,_] 0Vangelis KarkaletsisVangelis Karkaletsis III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence-based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteria Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#SKg                           ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { } ~  /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$TQUATRO develops tools to support the exploitation of its labels QUATRO proxy server (QUAPRO) Takes as input a URL, either from a search engine or a browser, and examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, the Label Display Interface (LADI)@0Z20Z20Z2p0Z2C0Z20Z2@pC  , !QUATRO project - III Architecture"$(  QUATRO: LADI (  QUATRO: ViQ ( Proposal for a labeling platform!!$ nQUATRO addresses the needs of both the labeling operator and the end-user (site s visitor) QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required8 28,[! The MedIEQ proposal - I$& Web content analysis must involve in labeled web sites: monitoring the label s validity with respect to the site s content and informing the labeling operator exploiting technology for spidering web sites, to locate interesting pages, and extracting information from them in unlabeled web sites: locating these sites first, characterizing and storing them into a web directory exploiting technology for web crawling, site spidering, and information extraction v" 2 2 2 2 2"  ,  The MedIEQ Proposal - II$&,The MedIEQ Project  I & zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!+The MedIEQ Project - II Project Objectives(, $&!Odevelop a scheme for the quality labelling of medical web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) P0Z2Pr   5  J PThe MedIEQ Project - III Indicators for measuring the achievement of objectives(Q $7&FReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!HWCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February and is scheduled to complete in June& Nz0Z2Z0Z2Q0Z2zZQConcluding &  ( zQuality labeling an application area for content analysis and knowledge management technologies Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *a 2 2aZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? Is this the right way to proceed?~o0d210d2=0d2o0d250d2o1=o56  M 5 Useful Links |QUATRO site http://www.quatro-project.org MedIEQ site http://www. medieq.org WCL-XG http://www.w3.org/2005/Incubator/wcl  %  %n    0 ) 08N 0X| Quality Labelling of Web Content&! $$  /TP@\\.\DISPLAY1  0 L0  (     `1?"`Hh~  s *g  g   <g 6   0 QUAPRO (the QUATRO proxy)60      0A?V rH   0  S DA&viq-labels-content"`@ 0 0&2  <Bդ c y  0 FilterX (the content analyser)60    b  B?"6@ NNN?Nd b  B?"6@ NNN?NI\ 2b   Ng?"6@ NNN?N  v Labelling Authorities databases&!0P!  ! B   ZD1?"0@NNN?N  V B   ZD1?"0@NNN?N ] 8 j   Zg?"6@ NNN?Ns W   0 zDAcc 60    j   ZDg?"6@ NNN?N    0 zDAcc 60    u  Zg?"6@ NNN?N) ,g   0 Data ACCess interface&0P &    B  ZD1?"0@NNN?NFFB  ZD1?"0@NNN?N<B  ZD1?"0@NNN?N + B  ZD1?"0@NNN?NF6 s FB  ZD1?"0@NNN?N6 B  ZD1?"0@NNN?N 6  Q  Tg ?"6@ NNN?N ViQ (the browser plug-in)80P    O  TB ?"6@ NNN?Ng  %LADI (the search engine data wrapper)8&0P !  &   Tg ?"6@ NNN?N ?  XSOAP$0     Thg ?"6@ NNN?Nw   XSOAP$0     Tg ?"6@ NNN?Nc  XSOAP$0     TLg ?"6@ NNN?ND* {  XSOAP$0   XB  0D1S XB  0D1   NgG'H*www2 S" ?2  D    Tg ?"6@ NNN?N9X  WWeb$0   H  0޽h ? 333___PPT10i.p'+D=' = @B +rZi61x(8   >*QUATRO CommunicationsLADI&ViQ (1/2)P<FilterX: the content analyserDAccDAccDAcc:&QUATRO ArchitectureNhttp://www.qhttp://www.q/>http://whttp://w/f$http://www.aezq.de&http://www.aezq.de/D/ 0|DTimes New RomanTT,ܖ 0ܖDArial BlackmanTT,ܖ 0ܖ" DArialBlackmanTT,ܖ 0ܖ0DVerdanaackmanTT,ܖ 0ܖ"@DWingdingskmanTT,ܖ 0ܖ@ .  @n?" dd@  @@`` $ yU8D $:SA  j  PUCG I  " #    X $vR !$  v >[w~+ K CH OpR$i`aFi=b$ D@h}HSZF'b$8vyzZ$8R$Ce_o ib$5raeבḆg>;u( b$(o(n=  Pb$w9O*Hn*uQb$yEcn} e, b$C޲+ɡa80b$ɐXkiׄv"b$;*G)2)=MHb$>Pj)jjId:b$ _.. e3g?( b$m;GNv5b$%. u\r2{/fNb$z5ݗ"OIt67Vb$2s~<.Wծs{T]R$GEFAƛTb$gnA=3E`9R$M\Y~bc AA1? f@3f8 & ʚ;q8ʚ;g4KdKdp 0 ppp@ <4!d!d w 0T,<4dddd w 0T,g4GdGdq 06p pP<4BdBd w 0T,x___PPT10X ZZ.@(Vangelis Karkaletsis.X___PPT9:z&? ,O =Ƥ Quality Labelling of Web Content"!   ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, W3C WCL-XG, MedIEQ Concluding RemarksB| d d d|, v&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes  III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence-based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteria Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#SKg /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$TQUATRO develops tools to support the exploitation of its labels QUATRO proxy server (QUAPRO) Takes as input a URL, either from a search engine or a browser, and examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, the Label Display Interface (LADI)@0Z20Z20Z2p0Z2C0Z20Z2@pC  ,    QUATRO project - IV Architecture(!$(   QUATRO project: LADI(QUATRO project: ViQ(QUATRO project - V(LQUATRO addresses the needs of both the labeling operator and the end-user QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required' 2',J! The MedIEQ proposal - I$& Web content analysis must involve in labeled web sites: monitoring the label s validity with respect to the site s content and informing the labeling operator exploiting technology for spidering web sites, to locate interesting pages, and extracting information from them in unlabeled web sites: locating these sites first, characterizing and storing them into a web directory exploiting technology for web crawling, site spidering, and information extraction v" 2 2 2 2 2"  ,  The MedIEQ Proposal - II$&,The MedIEQ Project  I & zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!+The MedIEQ Project - II Project Objectives(, $&!Odevelop a scheme for the quality labelling of medical web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) P0Z2Pr   5  J PThe MedIEQ Project - III Indicators for measuring the achievement of objectives(Q $7&FReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!HWCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February and is scheduled to complete in June& Nz0Z2Z0Z2Q0Z2zZQConcluding &  ( zQuality labeling an application area for content analysis and knowledge management technologies Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *a 2 2aZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? Is this the right way to proceed?~o0d210d2=0d2o0d250d2o1=o56  M 5 Useful Links |QUATRO site http://www.quatro-project.org MedIEQ site http://www. medieq.org WCL-XG http://www.w3.org/2005/Incubator/wcl  %  %n    0 ) 08N 0X| Quality Labelling of Web Content&! $$  /TP@\\.\DISPLAY1  0 L0  (     `1?"`Hh~  s *g  g   <g 6   0 QUAPRO (the QUATRO proxy)60      0A?V rH   0  S DA&viq-labels-content"`@ 0 0&2  <Bդ c y  0 FilterX (the content analyser)60    b  B?"6@ NNN?Nd b  B?"6@ NNN?NI\ 2b   Ng?"6@ NNN?N  v Labelling Authorities databases&!0P!  ! B   ZD1?"0@NNN?N  V B   ZD1?"0@NNN?N ] 8 j   Zg?"6@ NNN?Ns W   0 zDAcc 60    j   ZDg?"6@ NNN?N    0 zDAcc 60    u  Zg?"6@ NNN?N) ,g   0 Data ACCess interface&0P &    B  ZD1?"0@NNN?NFFB  ZD1?"0@NNN?N<B  ZD1?"0@NNN?N + B  ZD1?"0@NNN?NF6 s FB  ZD1?"0@NNN?N6 B  ZD1?"0@NNN?N 6  Q  Tg ?"6@ NNN?N ViQ (the browser plug-in)80P    O  TB ?"6@ NNN?Ng  %LADI (the search engine data wrapper)8&0P !  &   Tg ?"6@ NNN?N ?  XSOAP$0     Thg ?"6@ NNN?Nw   XSOAP$0     Tg ?"6@ NNN?Nc  XSOAP$0     TLg ?"6@ NNN?ND* {  XSOAP$0   XB  0D1S XB  0D1   NgG'H*www2 S" ?2  D    Tg ?"6@ NNN?N9X  WWeb$0   H  0޽h ? 333___PPT10i.p'+D=' = @B +-  0 L0 ,$@ (  ~  s *g  g B  # A"`o*R  6"`@ 0 0H  0޽h ? 333___PPT10i.1+D=' = @B +  0 L0 ` @(  ~  s *Lg  g   C LA4viq-toolbar-label-tooltip"`hmH  0޽h ? 333___PPT10i.2™+D=' = @B +  0 L0  F(  x  c $|g   g   c $|BX g "P@08XH  0޽h ? f5Nff^o___PPT10i.Bu@@@+D=' = @B +r  iAF c gl1(8   >*QUATRO CommunicationsLADI&ViQ (1/2)P<FilterX: the content analyserDAccDAccDAcc:&QUATRO ArchitectureNhttp://www.qhttp://www.q/>http://whttp://w/f$http://www.aezq.de&http://www.aezq.de/D/ 0|DTimes New RomanTT,ܖ 0ܖDArial BlackmanTT,ܖ 0ܖ" DArialBlackmanTT,ܖ 0ܖ0DVerdanaackmanTT,ܖ 0ܖ"@DWingdingskmanTT,ܖ 0ܖ@ .  @n?" dd@  @@`` $ yR7D $:SA  j  PUCG I  " #    X $vR !$  v >[w~+ K CH OpR$i`aFi=b$ D@h}HSZF'b$8vyzZ$8R$Ce_o ib$5raeבḆg>;u( b$(o(n=  Pb$w9O*Hn*uQb$yEcn} e, b$C޲+ɡa80b$ɐXkiׄv"b$;*G)2)=MHb$>Pj)jjId:b$ _.. e3g?( b$m;GNv5b$%. u\r2{/fNb$z5ݗ"OIt67Vb$2s~<.Wծs{T]R$GEFAƛTb$gnA=3E`9R$M\Y~bc AA1? f@3f8 & ʚ;q8ʚ;g4KdKdp 0 ppp@ <4!d!d w 0T,<4dddd w 0T,g4GdGdq 06p pP<4BdBd w 0T,x___PPT10X ZZ.@(Vangelis Karkaletsis.X___PPT9:z&? ,O =؟ Quality Labelling of Web Content"!   ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, W3C WCL-XG, MedIEQ Concluding RemarksB| d d d|, v&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes  III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence-based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteria Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#SKg /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$TQUATRO develops tools to support the exploitation of its labels QUATRO proxy server (QUAPRO) Takes as input a URL, either from a search engine or a browser, and examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, the Label Display Interface (LADI)@0Z20Z20Z2p0Z2C0Z20Z2@pC  ,  QUATRO project - IV Architecture(!$(   QUATRO project: LADI(QUATRO project: ViQ(QUATRO project - V(LQUATRO addresses the needs of both the labeling operator and the end-user QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required' 2',J! $MedIEQ Project  I( zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!'MedIEQ Project - II Project Objectives(( $!Vdevelop a scheme for the quality labelling of health related web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) W0Z2W5    5  J The MedIEQ Proposal - II$&PThe MedIEQ Project - III Indicators for measuring the achievement of objectives(Q $7&FReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!HWCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February and is scheduled to complete in June& Nz0Z2Z0Z2Q0Z2zZQConcluding &  ( zQuality labeling an application area for content analysis and knowledge management technologies Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *a 2 2aZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? Is this the right way to proceed?~o0d210d2=0d2o0d250d2o1=o56  M 5 Useful Links |QUATRO site http://www.quatro-project.org MedIEQ site http://www. medieq.org WCL-XG http://www.w3.org/2005/Incubator/wcl  %  %n                            ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~   0 ) 08N 0X| Quality Labelling of Web Content&! $$  /TP@\\.\DISPLAY1  0 L0  F(  x  c $)      c $(B  "P@08XH  0޽h ? f5Nff^o___PPT10i.Bu@@@+D=' = @B +  0 L0  F(  x  c $n   n   c $n n "P@08XH  0޽h ? f5Nff^o___PPT10i.Bu@@@+D=' = @B +rl`&)l+1c(8   >*QUATRO CommunicationsLADI&ViQ (1/2)P<FilterX: the content analyserDAccDAccDAcc:&QUATRO ArchitectureNhttp://www.qhttp://www.q/>http://whttp://w/f$http://www.aezq.de&http://www.aezq.de/D/ 0|DTimes New RomanTT,ܖ 0ܖDArial BlackmanTT,ܖ 0ܖ" DArialBlackmanTT,ܖ 0ܖ0DVerdanaackmanTT,ܖ 0ܖ"@DWingdingskmanTT,ܖ 0ܖ@ .  @n?" dd@  @@`` $ yR7D $:SA  j  PUCG I  " #    X $vR !$  v >[w~+ K CH OpR$i`aFi=b$ D@h}HSZF'b$8vyzZ$8R$Ce_o ib$5raeבḆg>;u( b$(o(n=  Pb$w9O*Hn*uQb$yEcn} e, b$C޲+ɡa80b$ɐXkiׄv"b$;*G)2)=MHb$>Pj)jjId:b$ _.. e3g?( b$m;GNv5b$%. u\r2{/fNb$z5ݗ"OIt67Vb$2s~<.Wծs{T]R$GEFAƛTb$gnA=3E`9R$M\Y~bc AA1? f@3f8 & ʚ;q8ʚ;g4KdKdp 0 ppp@ <4!d!d w 0T,<4dddd w 0T,g4GdGdq 06p pP<4BdBd w 0T,x___PPT10X ZZ.@(Vangelis Karkaletsis.X___PPT9:z&? ,O = Quality Labelling of Web Content"!   ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, W3C WCL-XG, MedIEQ Concluding RemarksB| d d d|, v&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes  III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence-based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteria Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#SKg /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$TQUATRO develops tools to support the exploitation of its labels QUATRO proxy server (QUAPRO) Takes as input a URL, either from a search engine or a browser, and examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, the Label Display Interface (LADI)@0Z20Z20Z2p0Z2C0Z20Z2@pC  ,  QUATRO project - IV Architecture(!$(   QUATRO project: LADI(QUATRO project: ViQ(QUATRO project - V(LQUATRO addresses the needs of both the labeling operator and the end-user QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required' 2',J! $MedIEQ Project  I( zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!'MedIEQ Project - II Project Objectives(( $!Vdevelop a scheme for the quality labelling of health related web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) W0Z2Wr  5  J MedIEQ Project - III$OThe MedIEQ Project - IV Indicators for measuring the achievement of objectives(P $7&EReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!HWCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February and is scheduled to complete in June& Nz0Z2Z0Z2Q0Z2zZQConcluding &  ( zQuality labeling an application area for content analysis and knowledge management technologies Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *a 2 2aZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? Is this the right way to proceed?~o0d210d2=0d2o0d250d2o1=o56  M 5 Useful Links |QUATRO site http://www.quatro-project.org MedIEQ site http://www. medieq.org WCL-XG http://www.w3.org/2005/Incubator/wcl  %  %n    0 ) 08N 0X| Quality Labelling of Web Content&! $$  /TP@\\.\DISPLAY1  0 L0   6(  x  c $T#: %   ~   C BA*architecture_general#" `~H  0޽h ? f5Nff^o___PPT10i.Bu@@@+D=' = @B +  0 L0  F(  x  c $n   n   c $Tn n "P@08XH  0޽h ? f5Nff^o___PPT10i.Bu@@@+D=' = @B +r",<+1w(8   >*QUATRO CommunicationsLADI&ViQ (1/2)P<FilterX: the content analyserDAccDAccDAcc:&QUATRO ArchitectureNhttp://www.qhttp://www.q/>http://whttp://w/f$http://www.aezq.de&http://www.aezq.de/D/ 0|DTimes New RomanTT,ܖ 0ܖDArial BlackmanTT,ܖ 0ܖ" DArialBlackmanTT,ܖ 0ܖ0DVerdanaackmanTT,ܖ 0ܖ"@DWingdingskmanTT,ܖ 0ܖ@ .  @n?" dd@  @@`` $ yR7D $:SA  j  PUCG I  " #    X $vR !$  v >[w~+ K CH OpR$i`aFi=b$ D@h}HSZF'b$8vyzZ$8R$Ce_o ib$5raeבḆg>;u( b$(o(n=  Pb$w9O*Hn*uQb$yEcn} e, b$C޲+ɡa80b$ɐXkiׄv"b$;*G)2)=MHb$>Pj)jjId:b$ _.. e3g?( b$m;GNv5b$%. u\r2{/fNb$z5ݗ"OIt67Vb$2s~<.Wծs{T]R$GEFAƛTb$gnA=3E`9R$M\Y~bc AA1? f@3f8 & ʚ;q8ʚ;g4KdKdp 0 ppp@ <4!d!d w 0T,<4dddd w 0T,g4GdGdq 06p pP<4BdBd w 0T,x___PPT10X ZZ.@(Vangelis Karkaletsis.X___PPT9:z&? ,O =ŝ Quality Labelling of Web Content"!   ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, W3C WCL-XG, MedIEQ Concluding RemarksB| d d d|, v&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes  III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence-based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteri a Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#SKg /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$TQUATRO develops tools to support the exploitation of its labels QUATRO proxy server (QUAPRO) Takes as input a URL, either from a search engine or a browser, and examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, the Label Display Interface (LADI)@0Z20Z20Z2p0Z2C0Z20Z2@pC  ,  QUATRO project - IV Architecture(!$(   QUATRO project: LADI(QUATRO project: ViQ(QUATRO project - V(LQUATRO addresses the needs of both the labeling operator and the end-user QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required' 2',J! $MedIEQ Project  I( zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!'MedIEQ Project - II Project Objectives(( $!Vdevelop a scheme for the quality labelling of health related web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) W0Z2Wr  5  J MedIEQ Project - III$OThe MedIEQ Project - IV Indicators for measuring the achievement of objectives(P $7&EReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!(WCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February 2026 and is scheduled to complete in JuneNz0Z2Z0Z2U0Z2zZU,Concluding &  ( zQuality labeling an application area for content analysis and knowledge management technologies Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *a 2 2aZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? Is this the right way to proceed?~o0d210d2=0d2o0d250d2o1=o56  M 5 Useful Links |QUATRO site http://www.quatro-project.org MedIEQ site http://www. medieq.org WCL-XG http://www.w3.org/2005/Incubator/wcl  %  %n    0 ) 08N 0X| Quality Labelling of Web Content&! $$  /TP@\\.\DISPLAY1  0 L0  F(  x  c $mC   C   c $rC C "P@08XH  0޽h ? f5Nff^o___PPT10i.Bu@@@+D=' = @B +r?}1S(8   >*QUATRO CommunicationsLADI&ViQ (1/2)P<FilterX: the content analyserDAccDAccDAcc:&QUATRO ArchitectureNhttp://www.qhttp://www.q/>http://whttp://w/f$http://www.aezq.de&http://www.aezq.de/D/ 0|DTimes New RomanTT,ܖ 0ܖDArial BlackmanTT,ܖ 0ܖ" DArialBlackmanTT,ܖ 0ܖ0DVerdanaackmanTT,ܖ 0ܖ"@DWingdingskmanTT,ܖ 0ܖ@ .  @n?" dd@  @@`` $ yR7D $:SA  j  PUCG I  " #    X $vR !$  v >[w~+ K CH OpR$i`aFi=b$ D@h}HSZF'b$8vyzZ$8R$Ce_o ib$5raeבḆg>;u( b$(o(n=  Pb$w9O*Hn*uQb$yEcn} e, b$C޲+ɡa80b$ɐXkiׄv"b$;*G)2)=MHb$>Pj)jjId:b$ _.. e3g?( b$m;GNv5b$%. u\r2{/fNb$z5ݗ"OIt67Vb$2s~<.Wծs{T]R$GEFAƛTb$gnA=3E`9R$M\Y~bc AA1? f@3f8 & ʚ;q8ʚ;g4KdKdp 0 ppp@ <4!d!d w 0T,<4dddd w 0T,g4GdGdq 06p pP<4BdBd w 0T,x___PPT10X ZZ.@(Vangelis Karkaletsis.X___PPT9:z&? ,O = Quality Labelling of Web Content"!   ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, W3C WCL-XG, MedIEQ Concluding RemarksB| d d d|, v&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes  III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence-based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteria Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|~SKg /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$TQUATRO develops tools to support the exploitation of its labels QUATRO proxy server (QUAPRO) Takes as input a URL, either from a search engine or a browser, and examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, the Label Display Interface (LADI)@0Z20Z20Z2p0Z2C0Z20Z2@pC  ,  QUATRO project - IV Architecture(!$(   QUATRO project: LADI(QUATRO project: ViQ(QUATRO project - V(LQUATRO addresses the needs of both the labeling operator and the end-user QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required' 2',J! $MedIEQ Project  I( zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!'MedIEQ Project - II Project Objectives(( $!Vdevelop a scheme for the quality labelling of health related web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) W0Z2Wr  5  J MedIEQ Project - III$OThe MedIEQ Project - IV Indicators for measuring the achievement of objectives(P $7&EReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!(WCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February 2026 and is scheduled to complete in JuneNz0Z2Z0Z2U0Z2zZUConcluding &  ( Quality labeling is an application area for content analysis, knowledge management, and intelligent interfaces Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *q 2 2qZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? Is this the right way to proceed?~o0d210d2=0d2o0d250d2o1=o56  M 5 Useful Links |QUATRO site http://www.quatro-project.org MedIEQ site http://www. medieq.org WCL-XG http://www.w3.org/2005/Incubator/wcl  %  %n    0 ) 08N 0X| Quality Labelling of Web Content&! $$  /TP@\\.\DISPLAY1  0 L0 P @F(  @x @ c $n   n  @ c $9C n "P@08XH @ 0޽h ? f5Nff^o___PPT10i.Bu@@@+D=' = @B +r]_1S(8   >*QUATRO CommunicationsLADI&ViQ (1/2)P<FilterX: the content analyserDAccDAccDAcc:&QUATRO ArchitectureNhttp://www.qhttp://www.q/>http://whttp://w/f$http://www.aezq.de&http://www.aezq.de/D/ 0|DTimes New RomanTT,ܖ 0ܖDArial BlackmanTT,ܖ 0ܖ" DArialBlackmanTT,ܖ 0ܖ0DVerdanaackmanTT,ܖ 0ܖ"@DWingdingskmanTT,ܖ 0ܖ@ .  @n?" dd@  @@`` $ yR7D $:SA  j  PUCG I  " #    X $vR !$  v >[w~+ K CH OpR$i`aFi=b$ D@h}HSZF'b$8vyzZ$8R$Ce_o ib$5raeבḆg>;u( b$(o(n=  Pb$w9O*Hn*uQb$yEcn} e, b$C޲+ɡa80b$ɐXkiׄv"b$;*G)2)=MHb$>Pj)jjId:b$ _.. e3g?( b$m;GNv5b$%. u\r2{/fNb$z5ݗ"OIt67Vb$2s~<.Wծs{T]R$GEFAƛTb$gnA=3E`9R$M\Y~bc AA1? f@3f8 & ʚ;q8ʚ;g4KdKdp 0 ppp@ <4!d!d w 0T,<4dddd w 0T,g4GdGdq 06p pP<4BdBd w 0T,x___PPT10X ZZ.@(Vangelis Karkaletsis.X___PPT9:z&? ,O = Quality Labelling of Web Content"!   ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, W3C WCL-XG, MedIEQ Concluding RemarksB| d d d|, v&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes  III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence-based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteria Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#SKg /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$TQUATRO develops tools to support the exploitation of its labels QUATRO proxy server (QUAPRO) Takes as input a URL, either from a search engine or a browser, and examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, the Label Display Interface (LADI)@0Z20Z20Z2p0Z2C0Z20Z2@pC  ,  QUATRO project - IV Architecture(!$(   QUATRO project: LADI(QUATRO project: ViQ(QUATRO project - V(LQUATRO addresses the needs of both the labeling operator and the end-user QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required' 2',J! $MedIEQ Project  I( zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!'MedIEQ Project - II Project Objectives(( $!Vdevelop a scheme for the quality labelling of health related web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) W0Z2Wr  5  J MedIEQ Project - III$OThe MedIEQ Project - IV Indicators for measuring the achievement of objectives(P $7&EReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!(WCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February 2026 and is scheduled to complete in JuneNz0Z2Z0Z2U0Z2zZUConcluding &  ( Quality labeling is an application area for content analysis, knowledge management, and intelligent interfaces Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *q 2 2qZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? Is this the right way to proceed?~o0d210d2=0d2o0d250d2o1=o56  M 5 Useful Links |QUATRO site http://www.quatro-project.org MedIEQ site http://www. medieq.org WCL-XG http://www.w3.org/2005/Incubator/wcl  %  %n    0 ) 08N 0X| Quality Labelling of Web Content&! $$  /TP@\\.\DISPLAY1r`_j1_(8   >*QUATRO CommunicationsLADI&ViQ (1/2)P<FilterX: the content analyserDAccDAccDAcc:&QUATRO ArchitectureNhttp://www.qhttp://www.q/>http://whttp://w/f$http://www.aezq.de&http://www.aezq.de/D/ 0|DTimes New RomanTT,ܖ 0ܖDArial BlackmanTT,ܖ 0ܖ" DArialBlackmanTT,ܖ 0ܖ0DVerdanaackmanTT,ܖ 0ܖ"@DWingdingskmanTT,ܖ 0ܖ@ .  @n?" dd@  @@`` $ yR7D $:SA  j  PUCG I  " #    X $vR !$  v >[w~+ K CH OpR$i`aFi=b$ D@h}HSZF'b$8vyzZ$8R$Ce_o ib$5raeבḆg>;u( b$(o(n=  Pb$w9O*Hn*uQb$yEcn} e, b$C޲+ɡa80b$ɐXkiׄv"b$;*G)2)=MHb$>Pj)jjId:b$ _.. e3g?( b$m;GNv5b$%. u\r2{/fNb$z5ݗ"OIt67Vb$2s~<.Wծs{T]R$GEFAƛTb$gnA=3E`9R$M\Y~bc AA1? f@3f8 & ʚ;q8ʚ;g4KdKdp 0 ppp@ <4!d!d w 0T,<4dddd w 0T,g4GdGdq 06p pP<4BdBd w 0T,x___PPT10X ZZ.@(Vangelis Karkaletsis.X___PPT9:z&? ,O = Quality Labelling of Web Content"!   ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, MedIEQ, W3C WCL-XG, Concluding RemarksB| d d d|6 j&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes  III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence-based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteria Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#SKg /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$TQUATRO develops tools to support the exploitation of its labels QUATRO proxy server (QUAPRO) Takes as input a URL, either from a search engine or a browser, and examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, the Label Display Interface (LADI)@0Z20Z20Z2p0Z2C0Z20Z2@pC  ,  QUATRO project - IV Architecture(!$(   QUATRO project: LADI(QUATRO project: ViQ(QUATRO project - V(LQUATRO addresses the needs of both the labeling operator and the end-user QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required' 2',J! $MedIEQ Project  I( zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!'MedIEQ Project - II Project Objectives(( $!Vdevelop a scheme for the quality labelling of health related web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) W0Z2Wr  5  J MedIEQ Project - III$OThe MedIEQ Project - IV Indicators for measuring the achievement of objectives(P $7&EReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!(WCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February 2026 and is scheduled to complete in JuneNz0Z2Z0Z2U0Z2zZUConcluding &  ( Quality labeling is an application area for content analysis, knowledge management, and intelligent interfaces Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *q 2 2qZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? Is this the right way to proceed?~o0d210d2=0d2o0d250d2o1=o56  M 5 Useful Links |QUATRO site http://www.quatro-project.org MedIEQ site http://www. medieq.org WCL-XG http://www.w3.org/2005/Incubator/wcl  %  %n    0 ) 08N 0X| Quality Labelling of Web Content&! $$  /TP@\\.\DISPLAY1  0 L0 PL(    c $'"     c $L%"}  B  s *޽h ? f5Nff^oy___PPT10Y+D=' = @B +rz1U(8   >*QUATRO CommunicationsLADI&ViQ (1/2)P<FilterX: the content analyserDAccDAccDAcc:&QUATRO ArchitectureNhttp://www.qhttp://www.q/>http://whttp://w/f$http://www.aezq.de&http://www.aezq.de/D/ 0|DTimes New RomanTT,ܖ 0ܖDArial BlackmanTT,ܖ 0ܖ" DArialBlackmanTT,ܖ 0ܖ0DVerdanaackmanTT,ܖ 0ܖ"@DWingdingskmanTT,ܖ 0ܖ@ .  @n?" dd@  @@`` $ yR7D $:SA  j  PUCG I  " #    X $vR !$  v >[w~+ K CH OpR$i`aFi=b$ D@h}HSZF'b$8vyzZ$8R$Ce_o ib$5raeבḆg>;u( b$(o(n=  Pb$w9O*Hn*uQb$yEcn} e, b$C޲+ɡa80b$ɐXkiׄv"b$;*G)2)=MHb$>Pj)jjId:b$ _.. e3g?( b$m;GNv5b$%. u\r2{/fNb$z5ݗ"OIt67Vb$2s~<.Wծs{T]R$GEFAƛTb$gnA=3E`9R$M\Y~bc AA1? f@3f8 & ʚ;q8ʚ;g4KdKdp 0 ppp@ <4!d!d w 0T,<4dddd w 0T,g4GdGdq 06p pP<4BdBd w 0T,x___PPT10X ZZ.@(Vangelis Karkaletsis.X___PPT9:z&? ,O = Quality Labelling of Web Content"!   ContentsQuality labels / trustmark schemes Existing labeling processes Needs for new technologies On-going projects and initiatives QUATRO, MedIEQ, W3C WCL-XG, Concluding RemarksB| d d d|, j"&Quality labels / trustmark schemes - I''&  Quality labels / trustmark schemes have been established in many parts of the world some are online versions of existing schemes, others have been developed specifically for the web.*T 2d 2Td 'Quality labels / trustmark schemes - II((&  MInform the user about the quality of data and services provided if these are of a certain type, they fulfill certain criteria or meet given requirements for example, a label may include an assertion that the labeled web site has a suitable privacy policy, that the publisher is clearly identified, and that it meets legal practice in one or more identified countries. Two notable areas of interest for quality labels / trustmarks schemes are those designed to give consumers confidence in eCommerce operations, and those that indicate that health related content has been peer revieweddA0d220d2K0d20d2A2K Quality labels / trustmark schemes  III an example: the WMA label for health related web contentc*9& HeIdentification Content Confidentiality Advertising and Sponsoring Virtual Consultation Non compliancef " (f}bQuality labels / trustmark schemes  IV some facts about the health related web contentX(0& =The number of health web sites and online services is increasing day by day 70-80% of Internet users seeks health information for them or for their relatives More than 4 out of 10 health information seekers say the material they find affect their health decisions L d 2 jQuality labels / trustmark schemes  V some facts about the health related web contentW'0& < bQuality of health related web content is extremely variable: from evidence-based healthcare to widespread practice of fraud and potentially-dangerous claims Increase in consumer knowledge changes how patient, professionals and providers interact Patients are becoming more proactive in their care management Effects in Public Health An example: Vaccines> #` #Y #>>b`bYb>bb b  & d     M  l Existing labeling processes - I $Organisations around the world are working on establishing quality standards For example, concerning health sites European Commission eEurope 2002: Quality criteria for health related web sites American Medical Association Guidelines for medical health information sites on the Internet Internet Healthcare Coalition eHealth Code of Ethics & & & & .r 2 2< 2 2@ 2 2 2 2r.@      @      Existing labeling processes - II!!$ Quality standards initiatives are not enough Self-adherence to codes of conduct or ethics, nothing more than a claim with little enforceability Necessary the establishment of labeling mechanisms by third party accreditation by creating portals where web sites are organized and characterized against certain labeling criteria Such initiatives already exist & t- 2c 23 2 2! 2-c3!!Existing labeling processes - III""$!  Existing Labeling Processes - IV!!$ 6(A.) A web site issues a request, for a label, to a third party (labeling operator) Site checked and if OK, a label is generated the label is either stored locally at the site s server, or stored in the operator s database (a link to the label is added in the web site) site s content is examined periodically and if an unacceptable change occurs, the label is either removed or replaced with a relevant message*T 2H 2TH Existing Labeling Processes - V &3(B.) Location of unlabeled web sites in specific thematic areas Characterization of the located sites, with respect to certain criteria Filtering of some of the web sites based on their characterization Organizing the rest of the web sites into web directories to facilitate access by information consumers @@ 2H 2 2@HLNeed for new labeling technologies  I''& Problems of existing labeling processes due to High costs to offer the service Huge amount of information to assess (too many sites) Content changes rapidly Broken links to accredited websites Not standardised rating criteria Dishonest use of the labelP/ ( (/BVBb` B &   NNeed for new labeling technologies  II((' ~Most of the work in labeling processes is currently performed manually A site may have hundreds of pages (static/dynamic ones) or other resources (.doc, .rtf, .pdf, images, & ) Probably all or most of the resources have to be checked A single label may be used for the whole site or different labels for site s resources2G ( (GBB& PNeed for new labeling technologies  III))( Access of the end-users to labeled resources must be improved If labels could be recognised by web browsers and search engines this would motivate content providers to label their resources  (B? NNeed for new labeling technologies  IV(('Need for technologies that enable the automation of the labeling operators work; this involves Technology for creating machine processable labels establishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL), developing label generators with user-friendly interfaces Technology for maintaining the labels monitoring the label with respect to its issue and expiration dates, its integrity (when stored by the content provider) monitoring the label with respect to the labeled content exploiting content analysis technologies Technology for locating unlabeled web resources necessary for domain specific portals collecting web resources meeting certain quality criteria `0Z240Z20Z2&0Z20      !"#$%&'()*+,-./01234567Z200Z2b0Z2`4&0  b 8LNeed for new labeling technologies  V''&:Need for technologies that enable the access of the end-user to the label and its content; this involves Technology for locating the label inside a web resource, reading and validating label s content Technology for presenting the label s content and validation results to the end user.i 2 2i6Technology for creating machine processable labels - I77&  [Advantages of establishing common schemas and vocabularies A label that is machine readable and uses common descriptors will be interpreted more easily by semantic web tools than one that uses purely proprietary elements For instance, if a user agent is configured to look for Label A but finds a site that is accredited by Label B, at least the common elements will be recognised, even if those specific to Label B are not. The incentive for content providers to gain accreditation for their material is therefore enhanced if the labeling scheme they adopt uses at least some of the common descriptorsf;0Z20Z20Z20Z2;r 7Technology for creating machine processable labels - II88&  Advantages of establishing common schemas and vocabularies (cont.) A common set of elements facilitates the application of web content analysis techniques to ensure that an accredited site continues to meet at least some of the common labeling criteria. For instance, a content analyser cannot tell whether an e-mail sent to an eCommerce operator will be responded to within a given time, but it can detect that a contact route is still provided 3 months after the site was last reviewed by a human, even if the nature of the contact route changes The use of a common vocabulary offers commercial advantages to labeling authorities by increasing the value of the labels for content providers and end-users^C 2 2& 2 2C&  8Technology for creating machine processable labels - III99&  dEstablishing common schemas and vocabularies exploiting semantic web technologies (RDF, OWL) Some basics on Resource Description Framework (RDF) Established by W3C Can be considered as providing our  file format We'll use it for sharing Web content labels (import/export/publish for our tools) Queried using an SQL-like language, SPARQL RDF/XML files make simple statements: Advertising is present here There is a service of virtual consultation for professionals The intended audience is health professionals It's in the MeSH 'quality of health care' categoryd0Z2D 20Z20Z2D   #nTechnology for creating machine processable labels  IV88&  Some basics on RDF (cont.) Enables sharing the work: mixing schemas QUATRO for talking about 'advertisements': 1 WMA for 'virtual consultations': 0 Dublin Core for 'intended audience': Children And unlimited others... Re-use of existing RDF vocabularies means: saving time from re-defining existing concepts making re-use of both software and data more likely0Z2) 2+ 2 2! 2+ 2% 2) 2 2+ 2c 2)  +  c  tq  (-  6Technology for creating machine processable labels - V77&   Some basics on the Ontology Web Language (OWL) W3C recommendation Can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is a revision of the DAML+OIL web ontology language OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. ./ 2 2/7Technology for creating machine processable labels - VI88&   Having the languages for representing labels data is not enough to attract content providers to create labels and add them to their content Developing label generators with user-friendly interfaces for the content providers An example: the ICRA label generator 2*Technology for maintaining the labels - I ++*|Monitoring the label s content When a label is generated, the following data may be stored in the labeling authority s data base: Issue date, expiration date label s content hash the label itself If the label is reviewed at some point the labeling authoring updates the dates the hash may also be updated if after the review the authority changes the label (the new one is sent to the content provider) it is also possible that the provider asks for changes in the label The data stored about the label can be used by a tool to examine the label against the expiration date (if date has passed, alert the authority) the label s integrity (when stored by the content provider he/she may change it) 0P2c0P2D0P2'0P20P2B0P20P2cD'B  +Technology for maintaining the labels - II ,,+Monitoring the label s content against the content of the labeled resource using content analysis technologies spidering technology that enables navigating the monitored site to locate resources (pages, documents) related to the labeling criteria information extraction technology to extract from the located resources the data corresponding to the labeling criteria .o 2 2oo ,Technology for maintaining the labels - III --,VSpidering involves techniques and tools for Site navigation to traverse a Web site, collecting information from each resource visited and forwarding it to the  Resource classification and  Link Scoring modules Resource classification is responsible for deciding whether a resource is an interesting one and should be stored or not, exploiting machine learning techniques to train a classifier, techniques for natural language processing, image analysis, page layout analysis that will provide the necessary features for the classifier s training domain specific resources (terminologies, vocabularies, ontologies) Link-scoring validates the links to be followed. Only links with a score above a certain threshold are followed. machine learning techniques, heuristics, domain specific resources can be usedv, 2- 2 2q 2O 2,-qO  $ W +Technology for maintaining the labels - IV ,,+rInformation extraction may involve wrappers for different types of resources techniques and tools from the areas of machine learning, natural language processing, image analysis (in case of image resources) for term extraction named entity recognition and classification relations extraction use of domain specific resources (terminologies, vocabularies, ontologies)^# 2 2S 2K 2#SKg /Technology for locating unlabeled web resources00/Use of focused crawling technology to locate unlabeled domain specific web resources exploiting existing search engines machine learning techniques domain specific resources .`0Z2R0Z2`R:Technologies for improving accessibility to the labels - I;;:Locating the label of a web resource, reading and validating its content parse the resource s content to locate an RDF label if such a label exists identify the labeling authority calculate the label s hash get for the specific resource the data stored in the authority s data base process the resource s content with the content analyser validate the label against the data in the authority s data base provide the label s data and the validation results to the tools responsible for presenting them to the end -userLI0P2K0P2t0P2IKtJ;Technologies for improving accessibility to the labels - II<<;Presenting the label s content and validation results to the end user enabling existing web browsers and search engines to communicate with web services that are able to locate and validate labels in the retrieved resources, as well as to present the label s data and validation results in a format understandable by the end-user natural language generation technology can be exploited to present the label s content in the end-user s language according to his/her knowledge and needs^F0Z230Z20Z20Z2F3 QUATRO project - I$rThe EC-funded project  Quality Assurance and Content Description  QUATRO (Safer Internet Programme) Provides a common vocabulary and machine processable RDF schema for quality labeling Known as RDF-CL, it allows a small amount of metadata to be applied to anything from a single resource such as a web page, to millions of items on any number of web sites. A default label can be set for a whole web site or set of web sites, with overrides coming into play as required. Labels can be stored on the labeled site or in a database operated by the Labeling Authority.\g 2U 2~ 24U~,[ , QUATRO project - II$QUATRO vocabulary is divided into four categories: General Criteria, such as whether the labeled site includes a privacy statement, contact point etc. Criteria for labeling to ensure accuracy of information such as the content provider s credentials and appropriate disclosure of funding. Criteria for labeling to ensure compliance with rules and legislation for e-business such as fair marketing practices and measures to protect children Terms used in operating the labeling scheme itself such as the date the label was issued, when it was last reviewed and by whom. Three different domain specific vocabularies developed by QUATRO partners ICRA : nudity, sexual content, violence, & IQUA : integrity, responsibility, confidentiality, protection of intellectual and industrial property rights, & WMA : health related content and servicesd30Z20Z2J0Z20Z23JQUATRO project - III$TQUATRO develops tools to support the exploitation of its labels QUATRO proxy server (QUAPRO) Takes as input a URL, either from a search engine or a browser, and examines whether there are labels inside Parses the label (only for QUATRO-based labels) in order to check its validity in terms of the label itself, or the URL s content (in QUATRO, this is restricted only to pages with pornographic content) Returns a result on the label s validity (valid, invalid, unknown) A browser extension, the Metadata Visualizer (ViQ) A search engine wrapper which is a web interface displaying annotated search results that link to the corresponding labels, the Label Display Interface (LADI)@0Z20Z20Z2p0Z2C0Z20Z2@pC  ,  QUATRO project - IV Architecture(!$(   QUATRO project: LADI(QUATRO project: ViQ(QUATRO project - V(LQUATRO addresses the needs of both the labeling operator and the end-user QUATRO s technology for creating machine processable labels represents the first step towards a platform that will support the work of the labeling operator Technology for automated web content analysis is still required' 2',J! $MedIEQ Project  I( zMedIEQ  Quality Labeling of Medical Web content using Multilingual Information Extraction EC-funded project DG SANCO  Health & Consumer protection , Directorate C  Public Health and Risk Assessment  Public Health Programme , Priority Area: 1. Health Information, Action: 1.5 eHealth Duration: 01/01/2006-01/01/2009^[0Z20Z20Z2 0Z2[    B  ! 5!'MedIEQ Project - II Project Objectives(( $!Vdevelop a scheme for the quality labelling of health related web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme; specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it; integrate these technologies into a prototype labelling system; demonstrate the resulting prototype in 7 different languages (Spanish, Catalan, German, English, Greek, Czech, and Finnish) and two labelling applications (third party accreditation, classification) W0Z2Wr  5  J MedIEQ Project - III$OThe MedIEQ Project - IV Indicators for measuring the achievement of objectives(P $7&EReduction of the manual labelling time Labeling unlabeled sites, monitoring labeled sites, .. Effective extraction from large collections of medical web content Processing time, precision of extracted data, & Effort required to customize the system into new languages 7 languages to be supported Implementation of an open architecture Effort required to integrate new techniques and tools, & ( 27 2D 20 2< 2 2( 29 2(7D0<(  9& 8B 1: & :!W3C Content Label Incubator Group""!(WCL-XG aims to foster ideas for how content providers can inform search engines, aggregators and other data systems that their content is of a certain type, fulfils certain criteria or meets given requirements Content labels will need to be applicable to a resource or a group of resources It should be possible to build systems that in some way show the labels to be trustworthy WCL-XG output may be used as input to a working group leading to a full W3C Recommendation WCL-XG started its work on February 2026 and is scheduled to complete in JuneNz0Z2Z0Z2U0Z2zZUConcluding &  ( Quality labeling is an application area for content analysis, knowledge management, and intelligent interfaces Strong need for the development of tools assisting the work of labeling authorities Browsers and search engines will have to be enriched with functionalities that enable the recognition of machine processable labels (RDF-CL) and the presentation of their content to the end-user *q 2 2qZ       I Concluding &  ( Establishment of quality labels in practice cannot be enforced by measures If content providers realize that content labels can be created and added easily to their content labeling authorities are equipped with technology that facilitates the monitoring of the provided web content against the labeling criteria search engines and browsers can inform users on the existence of quality labels and their features they will adopt machine readable content labeling technology leading to the increase of labeled sites improving in turn the quality knowledge disseminated through the Web What do you think? Is this the right way to proceed?~o0d210d2=0d2o0d250d2o1=o56  M 5 Useful Links |QUATRO site http://www.quatro-project.org MedIEQ site http://www. medieq.org WCL-XG http://www.w3.org/2005/Incubator/wcl  %  %n    0 ) 08N 0X| Quality Labelling of Web Content&! $$  /TP@\\.\DISPLAY1rM 1Root EntrydO)}| @Pictures;Current User;SSummaryInformation( 0U      !"#$%&'()*+,-./01234567f       !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|~              g             ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = ? @ A B C D E F G H I J K L M h i j k l m n o p q r s t u v w x y { | } ~    !"#$%&'()*+,-./0123456789:< > @ http://w/http://www.aezq.de/  / )_] Kostas StamatakisKostas Stamatakistsis