Exploring the Semantic Web as Background Knowledge for Ontology Matching
Identifieur interne : 000608 ( Istex/Corpus ); précédent : 000607; suivant : 000609Exploring the Semantic Web as Background Knowledge for Ontology Matching
Auteurs : Marta Sabou ; Mathieu D Quin ; Enrico MottaSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic Web, i.e., automatically finding and exploring multiple and heterogeneous online knowledge sources to derive mappings. We adopt an experimental approach in the context of matching two real life, large-scale ontologies to investigate the potential of this paradigm, its limitations, and its relation to other techniques. Our experiments yielded a promising baseline precision of 70% and identified a set of critical issues that need to be considered to achieve the full potential of the paradigm. Besides providing a good performance as a stand-alone matcher, our paradigm is complementary to existing techniques and therefore could be used in hybrid tools that would further advance the state of the art in the ontology matching field.
Url:
DOI: 10.1007/978-3-540-92148-6_6
Links to Exploration step
ISTEX:21B240DEF691BB2F05F27497DB6EDAAB97F0AA98Le document en format XML
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We adopt an experimental approach in the context of matching two real life, large-scale ontologies to investigate the potential of this paradigm, its limitations, and its relation to other techniques. Our experiments yielded a promising baseline precision of 70% and identified a set of critical issues that need to be considered to achieve the full potential of the paradigm. 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XI</BookTitle><BookVolumeNumber>5383</BookVolumeNumber><BookSequenceNumber>11</BookSequenceNumber><BookDOI>10.1007/978-3-540-92148-6</BookDOI><BookTitleID>184913</BookTitleID><BookPrintISBN>978-3-540-92147-9</BookPrintISBN><BookElectronicISBN>978-3-540-92148-6</BookElectronicISBN><BookChapterCount>8</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2008</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18024" Priority="1" Type="Secondary">Database Management</BookSubject><BookSubject Code="I18032" Priority="2" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I18030" Priority="3" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I18008" Priority="4" Type="Secondary">Information Systems and Communication Service</BookSubject><BookSubject Code="I18040" Priority="5" 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DisplayOrder="Western"><GivenName>Terry</GivenName><FamilyName>Halpin</FamilyName></EditorName><Contact><Email>terry@neumont.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff5"><EditorName DisplayOrder="Western"><GivenName>Steffen</GivenName><FamilyName>Staab</FamilyName></EditorName><Contact><Email>staab@uni-koblenz.de</Email></Contact></Editor><Editor AffiliationIDS="Aff6"><EditorName DisplayOrder="Western"><GivenName>Vojtech</GivenName><FamilyName>Svatek</FamilyName></EditorName><Contact><Email>svatek@vse.cz</Email></Contact></Editor><Editor AffiliationIDS="Aff7"><EditorName DisplayOrder="Western"><GivenName>Pavel</GivenName><FamilyName>Shvaiko</FamilyName></EditorName><Contact><Email>pavel@dit.unitn.it</Email></Contact></Editor><Editor AffiliationIDS="Aff8"><EditorName DisplayOrder="Western"><GivenName>John</GivenName><FamilyName>Roddick</FamilyName></EditorName><Contact><Email>roddick@cs.flinders.edu.au</Email></Contact></Editor><Affiliation ID="Aff1"><OrgName>EPFL-IC-IIF-LBD</OrgName><OrgAddress><Street>Station 14 - INJ 236</Street><Postcode>1015</Postcode><City>Lausanne</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>The University of Aberdeen</OrgName><OrgAddress><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>Namur University</OrgName><OrgAddress><Country>Belgium</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Neumont University</OrgName><OrgAddress><City>Salt Lake City</City><State>UT</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgDivision>Fachbereich Informatik</OrgDivision><OrgName>Universität Koblenz-Landau</OrgName><OrgAddress><Street>Universitätsstraße 1</Street><Postcode>56070</Postcode><City>Koblenz</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>University of Economics</OrgName><OrgAddress><City>Prague</City><Country>Czech Republic</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgDivision>TasLab</OrgDivision><OrgName>University of Trento</OrgName><OrgAddress><City>Povo</City><Country>Italy</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>Flinders University</OrgName><OrgAddress><City>Adelaide</City><Country>Australia</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part5"><PartInfo TocLevels="0"><PartID>5</PartID><PartSequenceNumber>5</PartSequenceNumber><PartTitle>International Workshop on Ontology Matching (OM-2006)</PartTitle><PartChapterCount>1</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Journal on Data Semantics XI</BookTitle></PartContext></PartInfo><Chapter ID="Chap6" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>6</ChapterID><ChapterDOI>10.1007/978-3-540-92148-6_6</ChapterDOI><ChapterSequenceNumber>6</ChapterSequenceNumber><ChapterTitle Language="En">Exploring the Semantic Web as Background Knowledge for Ontology Matching</ChapterTitle><ChapterFirstPage>156</ChapterFirstPage><ChapterLastPage>190</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2008</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>5</PartID><BookID>978-3-540-92148-6</BookID><BookTitle>Journal on Data Semantics XI</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff9"><AuthorName DisplayOrder="Western"><GivenName>Marta</GivenName><FamilyName>Sabou</FamilyName></AuthorName><Contact><Email>r.m.sabou@open.ac.uk</Email></Contact></Author><Author AffiliationIDS="Aff9"><AuthorName DisplayOrder="Western"><GivenName>Mathieu</GivenName><FamilyName>d’Aquin</FamilyName></AuthorName><Contact><Email>m.daquin@open.ac.uk</Email></Contact></Author><Author AffiliationIDS="Aff9"><AuthorName DisplayOrder="Western"><GivenName>Enrico</GivenName><FamilyName>Motta</FamilyName></AuthorName><Contact><Email>e.motta@open.ac.uk</Email></Contact></Author><Affiliation ID="Aff9"><OrgDivision>Knowledge Media Institute (KMi)</OrgDivision><OrgName>The Open University</OrgName><OrgAddress><City>Milton Keynes</City><Country>United Kingdom</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic Web, i.e., <Emphasis Type="Italic">automatically</Emphasis> finding and exploring <Emphasis Type="Italic">multiple</Emphasis> and <Emphasis Type="Italic">heterogeneous</Emphasis> online knowledge sources to derive mappings. We adopt an experimental approach in the context of matching two real life, large-scale ontologies to investigate the potential of this paradigm, its limitations, and its relation to other techniques. Our experiments yielded a promising baseline precision of 70% and identified a set of critical issues that need to be considered to achieve the full potential of the paradigm. Besides providing a good performance as a stand-alone matcher, our paradigm is complementary to existing techniques and therefore could be used in hybrid tools that would further advance the state of the art in the ontology matching field.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Exploring the Semantic Web as Background Knowledge for Ontology Matching</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Exploring the Semantic Web as Background Knowledge for Ontology Matching</title></titleInfo><name type="personal"><namePart type="given">Marta</namePart><namePart type="family">Sabou</namePart><affiliation>Knowledge Media Institute (KMi), The Open University, Milton Keynes, United Kingdom</affiliation><affiliation>E-mail: r.m.sabou@open.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Mathieu</namePart><namePart type="family">d’Aquin</namePart><affiliation>Knowledge Media Institute (KMi), The Open University, Milton Keynes, United Kingdom</affiliation><affiliation>E-mail: m.daquin@open.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Enrico</namePart><namePart type="family">Motta</namePart><affiliation>Knowledge Media Institute (KMi), The Open University, Milton Keynes, United Kingdom</affiliation><affiliation>E-mail: e.motta@open.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">2008</dateIssued><copyrightDate encoding="w3cdtf">2008</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: In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic Web, i.e., automatically finding and exploring multiple and heterogeneous online knowledge sources to derive mappings. We adopt an experimental approach in the context of matching two real life, large-scale ontologies to investigate the potential of this paradigm, its limitations, and its relation to other techniques. Our experiments yielded a promising baseline precision of 70% and identified a set of critical issues that need to be considered to achieve the full potential of the paradigm. Besides providing a good performance as a stand-alone matcher, our paradigm is complementary to existing techniques and therefore could be used in hybrid tools that would further advance the state of the art in the ontology matching field.</abstract><relatedItem type="host"><titleInfo><title>Journal on Data Semantics XI</title></titleInfo><name type="personal"><namePart type="given">Stefano</namePart><namePart type="family">Spaccapietra</namePart><affiliation>EPFL-IC-IIF-LBD, Station 14 - INJ 236, 1015, Lausanne, Switzerland</affiliation><affiliation>E-mail: stefano.spaccapietra@epfl.ch</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jeff</namePart><namePart type="given">Z.</namePart><namePart type="family">Pan</namePart><affiliation>The University of Aberdeen, UK</affiliation><affiliation>E-mail: jpan@csd.abdn.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Philippe</namePart><namePart type="family">Thiran</namePart><affiliation>Namur University, Belgium</affiliation><affiliation>E-mail: philippe.thiran@fundp.ac.be</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Terry</namePart><namePart type="family">Halpin</namePart><affiliation>Neumont University, Salt Lake City, UT, USA</affiliation><affiliation>E-mail: terry@neumont.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Steffen</namePart><namePart type="family">Staab</namePart><affiliation>Fachbereich Informatik, Universität Koblenz-Landau, Universitätsstraße 1, 56070, Koblenz, Germany</affiliation><affiliation>E-mail: staab@uni-koblenz.de</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Vojtech</namePart><namePart type="family">Svatek</namePart><affiliation>University of Economics, Prague, Czech Republic</affiliation><affiliation>E-mail: svatek@vse.cz</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Pavel</namePart><namePart type="family">Shvaiko</namePart><affiliation>TasLab, University of Trento, Povo, Italy</affiliation><affiliation>E-mail: pavel@dit.unitn.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="family">Roddick</namePart><affiliation>Flinders University, Adelaide, Australia</affiliation><affiliation>E-mail: roddick@cs.flinders.edu.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Collected works"></genre><originInfo><copyrightDate 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2008</recordOrigin></recordInfo></relatedItem><identifier type="istex">21B240DEF691BB2F05F27497DB6EDAAB97F0AA98</identifier><identifier type="DOI">10.1007/978-3-540-92148-6_6</identifier><identifier type="ChapterID">6</identifier><identifier type="ChapterID">Chap6</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer Berlin Heidelberg, 2008</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2008</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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