Improving the Context-Based Influence Diagram Model for Structured Document Retrieval: Removing Topological Restrictions and Adding New Evaluation Methods
Identifieur interne : 001F42 ( Istex/Corpus ); précédent : 001F41; suivant : 001F43Improving the Context-Based Influence Diagram Model for Structured Document Retrieval: Removing Topological Restrictions and Adding New Evaluation Methods
Auteurs : Luis M. De Campos ; Juan M. Fernández-Luna ; Juan F. HueteSource :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: In this paper we present the theoretical developments necessary to extend the existing Context-based Influence Diagram Model for Structured Documents (CID model), in order to improve its retrieval performance and expressiveness. Firstly, we make it more flexible and general by removing the original restrictions on the type of structured documents that CID represents. This extension requires the design of a new algorithm to compute the posterior probabilities of relevance. Another contribution is related to the evaluation of the influence diagram. The computation of the expected utilities in the original CID model was approximated by applying an independence criterion. We present another approximation that does not assume independence, as well as an exact evaluation method.
Url:
DOI: 10.1007/978-3-540-31865-1_16
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De Campos</name><affiliation><mods:affiliation>Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática, Universidad de Granada, 18071, Granada, Spain</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: lci@decsai.ugr.es</mods:affiliation></affiliation></author><author><name sortKey="Fernandez Luna, Juan M" sort="Fernandez Luna, Juan M" uniqKey="Fernandez Luna J" first="Juan M." last="Fernández-Luna">Juan M. Fernández-Luna</name><affiliation><mods:affiliation>Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática, Universidad de Granada, 18071, Granada, Spain</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: jmfluna@decsai.ugr.es</mods:affiliation></affiliation></author><author><name sortKey="Huete, Juan F" sort="Huete, Juan F" uniqKey="Huete J" first="Juan F." last="Huete">Juan F. Huete</name><affiliation><mods:affiliation>Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática, Universidad de Granada, 18071, Granada, Spain</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: jhg@decsai.ugr.es</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: In this paper we present the theoretical developments necessary to extend the existing Context-based Influence Diagram Model for Structured Documents (CID model), in order to improve its retrieval performance and expressiveness. Firstly, we make it more flexible and general by removing the original restrictions on the type of structured documents that CID represents. This extension requires the design of a new algorithm to compute the posterior probabilities of relevance. Another contribution is related to the evaluation of the influence diagram. The computation of the expected utilities in the original CID model was approximated by applying an independence criterion. We present another approximation that does not assume independence, as well as an exact evaluation method.</div></front></TEI><istex><corpusName>springer-ebooks</corpusName><author><json:item><name>Luis M. de Campos</name><affiliations><json:string>Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática, Universidad de Granada, 18071, Granada, Spain</json:string><json:string>E-mail: lci@decsai.ugr.es</json:string></affiliations></json:item><json:item><name>Juan M. 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DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></EditorName></Editor><Affiliation ID="Aff1"><OrgName>Lancaster University</OrgName><OrgAddress><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><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>CA</City><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><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><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><City>MA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>New York University</OrgName><OrgAddress><City>NY</City><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>Saarbruecken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-31865-1</BookID><BookTitle>Advances in Information Retrieval</BookTitle><BookSubTitle>27th European Conference on IR Research, ECIR 2005, Santiago de Compostela, Spain, March 21-23, 2005. Proceedings</BookSubTitle><BookVolumeNumber>3408</BookVolumeNumber><BookSequenceNumber>3408</BookSequenceNumber><BookDOI>10.1007/b107096</BookDOI><BookTitleID>117290</BookTitleID><BookPrintISBN>978-3-540-25295-5</BookPrintISBN><BookElectronicISBN>978-3-540-31865-1</BookElectronicISBN><BookChapterCount>53</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18032" Priority="1" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I21017" Priority="2" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I18024" Priority="3" Type="Secondary">Database Management</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="I21033" Priority="6" Type="Secondary">Document Preparation and Text Processing</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>David</GivenName><GivenName>E.</GivenName><FamilyName>Losada</FamilyName></EditorName><Contact><Email>dlosada@dec.usc.es</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Juan</GivenName><GivenName>M.</GivenName><FamilyName>Fernández-Luna</FamilyName></EditorName><Contact><Email>jmfluna@decsai.ugr.es</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Departamento de Electrónica y Computación</OrgDivision><OrgName>Universidad de Santiago de Compostela</OrgName><OrgAddress><Country>Spain</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Departamento de Ciencias de la Computación e Inteligencia Artificial E.T.S.I. Informática y de Telecomunicación</OrgDivision><OrgName>Universidad de Granada</OrgName><OrgAddress><Postcode>18071</Postcode><City>Granada</City><Country>Spain</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part6"><PartInfo TocLevels="0"><PartID>6</PartID><PartSequenceNumber>6</PartSequenceNumber><PartTitle>Information Retrieval Models (II)</PartTitle><PartChapterCount>4</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advances in Information Retrieval</BookTitle></PartContext></PartInfo><Chapter ID="Chap16" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>16</ChapterID><ChapterDOI>10.1007/978-3-540-31865-1_16</ChapterDOI><ChapterSequenceNumber>16</ChapterSequenceNumber><ChapterTitle Language="En">Improving the Context-Based Influence Diagram Model for Structured Document Retrieval: Removing Topological Restrictions and Adding New Evaluation Methods</ChapterTitle><ChapterFirstPage>215</ChapterFirstPage><ChapterLastPage>229</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</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>6</PartID><BookID>978-3-540-31865-1</BookID><BookTitle>Advances in Information Retrieval</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Luis</GivenName><GivenName>M.</GivenName><Particle>de</Particle><FamilyName>Campos</FamilyName></AuthorName><Contact><Email>lci@decsai.ugr.es</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Juan</GivenName><GivenName>M.</GivenName><FamilyName>Fernández-Luna</FamilyName></AuthorName><Contact><Email>jmfluna@decsai.ugr.es</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Juan</GivenName><GivenName>F.</GivenName><FamilyName>Huete</FamilyName></AuthorName><Contact><Email>jhg@decsai.ugr.es</Email></Contact></Author><Affiliation ID="Aff18"><OrgDivision>Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática</OrgDivision><OrgName>Universidad de Granada</OrgName><OrgAddress><Postcode>18071</Postcode><City>Granada</City><Country>Spain</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>In this paper we present the theoretical developments necessary to extend the existing Context-based Influence Diagram Model for Structured Documents (CID model), in order to improve its retrieval performance and expressiveness. Firstly, we make it more flexible and general by removing the original restrictions on the type of structured documents that CID represents. This extension requires the design of a new algorithm to compute the posterior probabilities of relevance. Another contribution is related to the evaluation of the influence diagram. The computation of the expected utilities in the original CID model was approximated by applying an independence criterion. We present another approximation that does not assume independence, as well as an exact evaluation method.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Improving the Context-Based Influence Diagram Model for Structured Document Retrieval: Removing Topological Restrictions and Adding New Evaluation Methods</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Improving the Context-Based Influence Diagram Model for Structured Document Retrieval: Removing Topological Restrictions and Adding New Evaluation Methods</title></titleInfo><name type="personal"><namePart type="given">Luis</namePart><namePart type="given">M.</namePart><namePart type="family">de Campos</namePart><affiliation>Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática, Universidad de Granada, 18071, Granada, Spain</affiliation><affiliation>E-mail: lci@decsai.ugr.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Juan</namePart><namePart type="given">M.</namePart><namePart type="family">Fernández-Luna</namePart><affiliation>Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática, Universidad de Granada, 18071, Granada, Spain</affiliation><affiliation>E-mail: jmfluna@decsai.ugr.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Juan</namePart><namePart type="given">F.</namePart><namePart type="family">Huete</namePart><affiliation>Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática, Universidad de Granada, 18071, Granada, Spain</affiliation><affiliation>E-mail: jhg@decsai.ugr.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre displayLabel="OriginalPaper" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" type="conference" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-BFHXPBJJ-3">conference</genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2005</dateIssued><copyrightDate encoding="w3cdtf">2005</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: In this paper we present the theoretical developments necessary to extend the existing Context-based Influence Diagram Model for Structured Documents (CID model), in order to improve its retrieval performance and expressiveness. Firstly, we make it more flexible and general by removing the original restrictions on the type of structured documents that CID represents. This extension requires the design of a new algorithm to compute the posterior probabilities of relevance. Another contribution is related to the evaluation of the influence diagram. The computation of the expected utilities in the original CID model was approximated by applying an independence criterion. We present another approximation that does not assume independence, as well as an exact evaluation method.</abstract><relatedItem type="host"><titleInfo><title>Advances in Information Retrieval</title><subTitle>27th European Conference on IR Research, ECIR 2005, Santiago de Compostela, Spain, March 21-23, 2005. 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type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart 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