A Revisit of Query Expansion with Different Semantic Levels
Identifieur interne : 000821 ( Istex/Corpus ); précédent : 000820; suivant : 000822A Revisit of Query Expansion with Different Semantic Levels
Auteurs : Ce Zhang ; Bin Cui ; Gao Cong ; Yu-Jing WangSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: Query expansion has received extensive attention in information retrieval community. Although semantic based query expansion appears to be promising in improving retrieval performance, previous research has shown that it cannot consistently improve retrieval performance. It is a tricky problem to automatically determine whether to do query expansion for a given query. In this paper, we introduce Compact Concept Ontology (CCO) and provide users the option of exploring different semantic levels by using different CCOs. Experimental results show our approach is superior to previous work in many cases. Additionally, we integrate the proposed methods into a text-based video search system (iVSearcher), to improve the user’s experience and retrieval performance significantly. To the best of our knowledge, this is the first system that integrates semantic information into video search and explores different semantic levels.
Url:
DOI: 10.1007/978-3-642-00887-0_58
Links to Exploration step
ISTEX:8F192381F111E53F435818AD71DE98E82F9EE233Le document en format XML
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Although semantic based query expansion appears to be promising in improving retrieval performance, previous research has shown that it cannot consistently improve retrieval performance. It is a tricky problem to automatically determine whether to do query expansion for a given query. In this paper, we introduce Compact Concept Ontology (CCO) and provide users the option of exploring different semantic levels by using different CCOs. Experimental results show our approach is superior to previous work in many cases. Additionally, we integrate the proposed methods into a text-based video search system (iVSearcher), to improve the user’s experience and retrieval performance significantly. To the best of our knowledge, this is the first system that integrates semantic information into video search and explores different semantic levels.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Ce Zhang</name><affiliations><json:string>Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education, CHINA & School of EECS, Peking University,</json:string><json:string>E-mail: zhangce@pku.edu.cn</json:string></affiliations></json:item><json:item><name>Bin Cui</name><affiliations><json:string>Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education, CHINA & School of EECS, Peking University,</json:string><json:string>E-mail: bin.cui@pku.edu.cn</json:string></affiliations></json:item><json:item><name>Gao Cong</name><affiliations><json:string>Aalborg University, Denmark</json:string><json:string>E-mail: gaocong@cs.aau.dk</json:string></affiliations></json:item><json:item><name>Yu-Jing Wang</name><affiliations><json:string>Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education, CHINA & School of EECS, Peking University,</json:string><json:string>E-mail: wangyujing@pku.edu.cn</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: Query expansion has received extensive attention in information retrieval community. 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Although semantic based query expansion appears to be promising in improving retrieval performance, previous research has shown that it cannot consistently improve retrieval performance. It is a tricky problem to automatically determine whether to do query expansion for a given query. In this paper, we introduce Compact Concept Ontology (CCO) and provide users the option of exploring different semantic levels by using different CCOs. Experimental results show our approach is superior to previous work in many cases. Additionally, we integrate the proposed methods into a text-based video search system (iVSearcher), to improve the user’s experience and retrieval performance significantly. To the best of our knowledge, this is the first system that integrates semantic information into video search and explores different semantic levels.</p></abstract><textClass><keywords scheme="Book Subject Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book Subject Group"><list><label>I</label><label>I18024</label><label>I18030</label><label>I18032</label><label>I18040</label><label>I18059</label><label>I18067</label><item><term>Computer Science</term></item><item><term>Database Management</term></item><item><term>Data Mining and Knowledge Discovery</term></item><item><term>Information Storage and Retrieval</term></item><item><term>Information Systems Applications (incl.Internet)</term></item><item><term>Multimedia Information Systems</term></item><item><term>User Interfaces and Human Computer Interaction</term></item></list></keywords></textClass></profileDesc><revisionDesc><change 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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><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingStyle="Unnumbered" OutputMedium="All" TocLevels="0"><BookID>978-3-642-00887-0</BookID><BookTitle>Database Systems for Advanced Applications</BookTitle><BookSubTitle>14th International Conference, DASFAA 2009, Brisbane, Australia, April 21-23, 2009. Proceedings</BookSubTitle><BookVolumeNumber>5463</BookVolumeNumber><BookSequenceNumber>5463</BookSequenceNumber><BookDOI>10.1007/978-3-642-00887-0</BookDOI><BookTitleID>187301</BookTitleID><BookPrintISBN>978-3-642-00886-3</BookPrintISBN><BookElectronicISBN>978-3-642-00887-0</BookElectronicISBN><BookChapterCount>75</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18024" Priority="1" Type="Secondary">Database Management</BookSubject><BookSubject Code="I18030" Priority="2" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I18032" Priority="3" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I18040" Priority="4" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18059" Priority="5" Type="Secondary">Multimedia Information Systems</BookSubject><BookSubject Code="I18067" Priority="6" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Xiaofang</GivenName><FamilyName>Zhou</FamilyName></EditorName><Contact><Email>zxf@itee.uq.edu.au</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Haruo</GivenName><FamilyName>Yokota</FamilyName></EditorName><Contact><Email>yokota@cs.titech.ac.jp</Email></Contact></Editor><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Ke</GivenName><FamilyName>Deng</FamilyName></EditorName><Contact><Email>dengke@itee.uq.edu.au</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Qing</GivenName><FamilyName>Liu</FamilyName></EditorName><Contact><Email>q.liu@csiro.au</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>School of Information Technology and Electrical Engineering</OrgDivision><OrgName>The University of Queensland</OrgName><OrgAddress><Postcode>QLD 4072</Postcode><City>Brisbane</City><Country>Australia</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Tokyo Institute of Technology</OrgDivision><OrgName>Graduate School of Information Science and Engineering</OrgName><OrgAddress><Street>2-12-1 Oh-Okayama Meguro-ku</Street><Postcode>152-8552</Postcode><City>Tokyo</City><Country>Japan</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgName>CSIRO, Castray Esplanade</OrgName><OrgAddress><Postcode>TAS 7000</Postcode><City>Hobart</City><Country>Australia</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part14"><PartInfo TocLevels="0"><PartID>14</PartID><PartSequenceNumber>14</PartSequenceNumber><PartTitle>Multimedia</PartTitle><PartChapterCount>4</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Database Systems for Advanced Applications</BookTitle></PartContext></PartInfo><Chapter ID="Chap58" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>58</ChapterID><ChapterDOI>10.1007/978-3-642-00887-0_58</ChapterDOI><ChapterSequenceNumber>58</ChapterSequenceNumber><ChapterTitle Language="En">A Revisit of Query Expansion with Different Semantic Levels</ChapterTitle><ChapterFirstPage>662</ChapterFirstPage><ChapterLastPage>676</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</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><PartID>14</PartID><BookID>978-3-642-00887-0</BookID><BookTitle>Database Systems for Advanced Applications</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Ce</GivenName><FamilyName>Zhang</FamilyName></AuthorName><Contact><Email>zhangce@pku.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Bin</GivenName><FamilyName>Cui</FamilyName></AuthorName><Contact><Email>bin.cui@pku.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Gao</GivenName><FamilyName>Cong</FamilyName></AuthorName><Contact><Email>gaocong@cs.aau.dk</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Yu-Jing</GivenName><FamilyName>Wang</FamilyName></AuthorName><Contact><Email>wangyujing@pku.edu.cn</Email></Contact></Author><Affiliation ID="Aff19"><OrgDivision>Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education, CHINA & School of EECS</OrgDivision><OrgName>Peking University</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>Aalborg University</OrgName><OrgAddress><Country>Denmark</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Query expansion has received extensive attention in information retrieval community. Although semantic based query expansion appears to be promising in improving retrieval performance, previous research has shown that it cannot consistently improve retrieval performance. It is a tricky problem to automatically determine whether to do query expansion for a given query. In this paper, we introduce Compact Concept Ontology (CCO) and provide users the option of exploring different semantic levels by using different CCOs. Experimental results show our approach is superior to previous work in many cases. Additionally, we integrate the proposed methods into a text-based video search system (<Emphasis Type="Italic">iVSearcher</Emphasis>), to improve the user’s experience and retrieval performance significantly. To the best of our knowledge, this is the first system that integrates semantic information into video search and explores different semantic levels.</Para></Abstract><ArticleNote Type="Misc"><SimplePara>This research was supported by the National Natural Science Foundation of China under Grant No.60603045.</SimplePara></ArticleNote></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A Revisit of Query Expansion with Different Semantic Levels</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>A Revisit of Query Expansion with Different Semantic Levels</title></titleInfo><name type="personal"><namePart type="given">Ce</namePart><namePart type="family">Zhang</namePart><affiliation>Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education, CHINA & School of EECS, Peking University</affiliation><affiliation>E-mail: zhangce@pku.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Bin</namePart><namePart type="family">Cui</namePart><affiliation>Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education, CHINA & School of EECS, Peking University</affiliation><affiliation>E-mail: bin.cui@pku.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gao</namePart><namePart type="family">Cong</namePart><affiliation>Aalborg University, Denmark</affiliation><affiliation>E-mail: gaocong@cs.aau.dk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Yu-Jing</namePart><namePart type="family">Wang</namePart><affiliation>Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education, CHINA & School of EECS, Peking University</affiliation><affiliation>E-mail: wangyujing@pku.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2009</dateIssued><copyrightDate encoding="w3cdtf">2009</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: Query expansion has received extensive attention in information retrieval community. Although semantic based query expansion appears to be promising in improving retrieval performance, previous research has shown that it cannot consistently improve retrieval performance. It is a tricky problem to automatically determine whether to do query expansion for a given query. In this paper, we introduce Compact Concept Ontology (CCO) and provide users the option of exploring different semantic levels by using different CCOs. Experimental results show our approach is superior to previous work in many cases. Additionally, we integrate the proposed methods into a text-based video search system (iVSearcher), to improve the user’s experience and retrieval performance significantly. To the best of our knowledge, this is the first system that integrates semantic information into video search and explores different semantic levels.</abstract><relatedItem type="host"><titleInfo><title>Database Systems for Advanced Applications</title><subTitle>14th International Conference, DASFAA 2009, Brisbane, Australia, April 21-23, 2009. 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Australia</affiliation><affiliation>E-mail: dengke@itee.uq.edu.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Qing</namePart><namePart type="family">Liu</namePart><affiliation>CSIRO, Castray Esplanade, TAS 7000, Hobart, Australia</affiliation><affiliation>E-mail: q.liu@csiro.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2009</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="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" 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