Improving Search in Tag-Based Systems with Automatically Extracted Keywords
Identifieur interne : 000E59 ( Istex/Corpus ); précédent : 000E58; suivant : 000E60Improving Search in Tag-Based Systems with Automatically Extracted Keywords
Auteurs : Ruba Awawdeh ; Terry AndersonSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: Tag-based systems are used by millions of web users to tag, save and share items. User-defined tags, however, are so variable in quality that searching on these tags alone is unsatisfactory. One way to improve search in bookmarking systems is by adding more metadata to the user-created tags to enhance tag quality. The additional metadata we have used is based on document content and largely avoids the idiosyncratic and ambiguous terms too often evident in user-created tags. Such an approach adds value by incorporating information about the content of the resource while retaining the original user-created tags. This paper describes how users’ tags can be enhanced with metadata automatically extracted from the original document. An experiment comparing search based only on user-created tags with search using an automatically enhanced tag set, demonstrates how incorporating the extra tags can offer significant benefits.
Url:
DOI: 10.1007/978-3-642-15280-1_35
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ISTEX:DAE7A621F409273B1C2AE1A1948DE455DAB19A81Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct:series"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Improving Search in Tag-Based Systems with Automatically Extracted Keywords</title><author><name sortKey="Awawdeh, Ruba" sort="Awawdeh, Ruba" uniqKey="Awawdeh R" first="Ruba" last="Awawdeh">Ruba Awawdeh</name><affiliation><mods:affiliation>School of Computing and Mathematics, University of Ulster, Newtownabbey, BT37 0QB, Northern Ireland</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: awawdeh-r@email.ulster.ac.uk</mods:affiliation></affiliation></author><author><name sortKey="Anderson, Terry" sort="Anderson, Terry" uniqKey="Anderson T" first="Terry" last="Anderson">Terry Anderson</name><affiliation><mods:affiliation>School of Computing and Mathematics, University of Ulster, Newtownabbey, BT37 0QB, Northern Ireland</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: tj.anderson@ulster.ac.uk</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:DAE7A621F409273B1C2AE1A1948DE455DAB19A81</idno><date when="2010" year="2010">2010</date><idno type="doi">10.1007/978-3-642-15280-1_35</idno><idno type="url">https://api.istex.fr/document/DAE7A621F409273B1C2AE1A1948DE455DAB19A81/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000E59</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Improving Search in Tag-Based Systems with Automatically Extracted Keywords</title><author><name sortKey="Awawdeh, Ruba" sort="Awawdeh, Ruba" uniqKey="Awawdeh R" first="Ruba" last="Awawdeh">Ruba Awawdeh</name><affiliation><mods:affiliation>School of Computing and Mathematics, University of Ulster, Newtownabbey, BT37 0QB, Northern Ireland</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: awawdeh-r@email.ulster.ac.uk</mods:affiliation></affiliation></author><author><name sortKey="Anderson, Terry" sort="Anderson, Terry" uniqKey="Anderson T" first="Terry" last="Anderson">Terry Anderson</name><affiliation><mods:affiliation>School of Computing and Mathematics, University of Ulster, Newtownabbey, BT37 0QB, Northern Ireland</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: tj.anderson@ulster.ac.uk</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2010</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">DAE7A621F409273B1C2AE1A1948DE455DAB19A81</idno><idno type="DOI">10.1007/978-3-642-15280-1_35</idno><idno type="ChapterID">Chap35</idno><idno type="ChapterID">35</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Tag-based systems are used by millions of web users to tag, save and share items. User-defined tags, however, are so variable in quality that searching on these tags alone is unsatisfactory. One way to improve search in bookmarking systems is by adding more metadata to the user-created tags to enhance tag quality. The additional metadata we have used is based on document content and largely avoids the idiosyncratic and ambiguous terms too often evident in user-created tags. Such an approach adds value by incorporating information about the content of the resource while retaining the original user-created tags. This paper describes how users’ tags can be enhanced with metadata automatically extracted from the original document. An experiment comparing search based only on user-created tags with search using an automatically enhanced tag set, demonstrates how incorporating the extra tags can offer significant benefits.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Ruba Awawdeh</name><affiliations><json:string>School of Computing and Mathematics, University of Ulster, Newtownabbey, BT37 0QB, Northern Ireland</json:string><json:string>E-mail: awawdeh-r@email.ulster.ac.uk</json:string></affiliations></json:item><json:item><name>Terry Anderson</name><affiliations><json:string>School of Computing and Mathematics, University of Ulster, Newtownabbey, BT37 0QB, Northern Ireland</json:string><json:string>E-mail: tj.anderson@ulster.ac.uk</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: Tag-based systems are used by millions of web users to tag, save and share items. 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type="first">Yaxin</forename><surname>Bi</surname></persName><email>y.bi@ulster.ac.uk</email><affiliation>School of Computing and Mathematics, University of Ulster, Newtownabbey, Co. 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One way to improve search in bookmarking systems is by adding more metadata to the user-created tags to enhance tag quality. The additional metadata we have used is based on document content and largely avoids the idiosyncratic and ambiguous terms too often evident in user-created tags. Such an approach adds value by incorporating information about the content of the resource while retaining the original user-created tags. This paper describes how users’ tags can be enhanced with metadata automatically extracted from the original document. 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University</OrgName><OrgAddress><City>Lancaster</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><City>Zurich</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>Stanford</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><SubSeries><SubSeriesInfo><SubSeriesID>1244</SubSeriesID><SubSeriesPrintISSN>0302-9743</SubSeriesPrintISSN><SubSeriesElectronicISSN>1611-3349</SubSeriesElectronicISSN><SubSeriesTitle Language="En">Lecture Notes in Artificial Intelligence</SubSeriesTitle></SubSeriesInfo><SubSeriesHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Randy</GivenName><FamilyName>Goebel</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Jörg</GivenName><FamilyName>Siekmann</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Wolfgang</GivenName><FamilyName>Wahlster</FamilyName></EditorName></Editor><Affiliation ID="Aff16"><OrgName>University of Alberta</OrgName><OrgAddress><City>Edmonton</City><Country>Canada</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>University of Saarland</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgName>DFKI and University of Saarland</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SubSeriesHeader></SubSeries><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-15280-1</BookID><BookTitle>Knowledge Science, Engineering and Management</BookTitle><BookSubTitle>4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010. Proceedings</BookSubTitle><BookVolumeNumber>6291</BookVolumeNumber><BookSequenceNumber>6291</BookSequenceNumber><BookDOI>10.1007/978-3-642-15280-1</BookDOI><BookTitleID>213170</BookTitleID><BookPrintISBN>978-3-642-15279-5</BookPrintISBN><BookElectronicISBN>978-3-642-15280-1</BookElectronicISBN><BookChapterCount>61</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18030" Priority="1" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I21017" Priority="2" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I18040" Priority="3" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18032" Priority="4" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I18024" Priority="5" Type="Secondary">Database Management</BookSubject><BookSubject Code="I18008" Priority="6" Type="Secondary">Information Systems and Communication Service</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID><SubSeriesID>1244</SubSeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Yaxin</GivenName><FamilyName>Bi</FamilyName></EditorName><Contact><Email>y.bi@ulster.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>Mary-Anne</GivenName><FamilyName>Williams</FamilyName></EditorName><Contact><Email>Mary-Anne@it.uts.edu.au</Email></Contact></Editor><Affiliation ID="Aff19"><OrgDivision>School of Computing and Mathematics</OrgDivision><OrgName>University of Ulster, Newtownabbey, Co. Antrim</OrgName><OrgAddress><Postcode>BT37 0QB</Postcode><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Innovation and Technology Research Laboratory</OrgDivision><OrgName>University of Technology</OrgName><OrgAddress><Postcode>2007</Postcode><City>Sydney</City><State>NSW</State><Country>Australia</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Chapter ID="Chap35" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>35</ChapterID><ChapterDOI>10.1007/978-3-642-15280-1_35</ChapterDOI><ChapterSequenceNumber>35</ChapterSequenceNumber><ChapterTitle Language="En">Improving Search in Tag-Based Systems with Automatically Extracted Keywords</ChapterTitle><ChapterFirstPage>378</ChapterFirstPage><ChapterLastPage>387</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><BookID>978-3-642-15280-1</BookID><BookTitle>Knowledge Science, Engineering and Management</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Ruba</GivenName><FamilyName>Awawdeh</FamilyName></AuthorName><Contact><Email>awawdeh-r@email.ulster.ac.uk</Email></Contact></Author><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Terry</GivenName><FamilyName>Anderson</FamilyName></AuthorName><Contact><Email>tj.anderson@ulster.ac.uk</Email></Contact></Author><Affiliation ID="Aff21"><OrgDivision>School of Computing and Mathematics</OrgDivision><OrgName>University of Ulster</OrgName><OrgAddress><Street>Newtownabbey</Street><Postcode>BT37 0QB</Postcode><Country>Northern Ireland</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Tag-based systems are used by millions of web users to tag, save and share items. User-defined tags, however, are so variable in quality that searching on these tags alone is unsatisfactory. One way to improve search in bookmarking systems is by adding more metadata to the user-created tags to enhance tag quality. The additional metadata we have used is based on document content and largely avoids the idiosyncratic and ambiguous terms too often evident in user-created tags. Such an approach adds value by incorporating information about the content of the resource while retaining the original user-created tags.</Para><Para>This paper describes how users’ tags can be enhanced with metadata automatically extracted from the original document. An experiment comparing search based only on user-created tags with search using an automatically enhanced tag set, demonstrates how incorporating the extra tags can offer significant benefits.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Tagging</Keyword><Keyword>Folksonomy</Keyword><Keyword>Searching</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Improving Search in Tag-Based Systems with Automatically Extracted Keywords</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Improving Search in Tag-Based Systems with Automatically Extracted Keywords</title></titleInfo><name type="personal"><namePart type="given">Ruba</namePart><namePart type="family">Awawdeh</namePart><affiliation>School of Computing and Mathematics, University of Ulster, Newtownabbey, BT37 0QB, Northern Ireland</affiliation><affiliation>E-mail: awawdeh-r@email.ulster.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Terry</namePart><namePart type="family">Anderson</namePart><affiliation>School of Computing and Mathematics, University of Ulster, Newtownabbey, BT37 0QB, Northern Ireland</affiliation><affiliation>E-mail: tj.anderson@ulster.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Tag-based systems are used by millions of web users to tag, save and share items. User-defined tags, however, are so variable in quality that searching on these tags alone is unsatisfactory. One way to improve search in bookmarking systems is by adding more metadata to the user-created tags to enhance tag quality. The additional metadata we have used is based on document content and largely avoids the idiosyncratic and ambiguous terms too often evident in user-created tags. Such an approach adds value by incorporating information about the content of the resource while retaining the original user-created tags. This paper describes how users’ tags can be enhanced with metadata automatically extracted from the original document. An experiment comparing search based only on user-created tags with search using an automatically enhanced tag set, demonstrates how incorporating the extra tags can offer significant benefits.</abstract><relatedItem type="host"><titleInfo><title>Knowledge Science, Engineering and Management</title><subTitle>4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Yaxin</namePart><namePart type="family">Bi</namePart><affiliation>School of Computing and Mathematics, University of Ulster, Newtownabbey, Co. Antrim, BT37 0QB, UK</affiliation><affiliation>E-mail: y.bi@ulster.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Mary-Anne</namePart><namePart type="family">Williams</namePart><affiliation>Innovation and Technology Research Laboratory, University of Technology, 2007, Sydney, NSW, Australia</affiliation><affiliation>E-mail: Mary-Anne@it.uts.edu.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2010</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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