Breaking the Deadlock
Identifieur interne : 000215 ( Istex/Corpus ); précédent : 000214; suivant : 000216Breaking the Deadlock
Auteurs : Fabio Rinaldi ; Kaarel Kaljurand ; James Dowdall ; Michael HessSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2003.
Abstract
Abstract: Many of the proposed approaches to the semantic web have a substantial drawback. They are all based on the idea that web pages (or more generally, resources), will contain semantic annotations that would allow remote agents to access them. However the problem of creating these annotations is seldom addressed. Manual creation of the annotations is not a feasible option, except in a few experimental cases. We propose an approach based on Language Processing techniques that addresses this issue, at least for textual resources (which still constitute the vast majority of the material available on the web). Documents are analyzed fully automatically and converted into a semantic annotation, which can then be stored together with the original documents. It is this annotation that constitutes the machine understandable resource that remote agents can query. A semi-automatic approach is also considered, in which the system suggests candidate annotations and the user simply has to approve or reject them. Advantages and drawbacks of both approaches are discussed.
Url:
DOI: 10.1007/978-3-540-39964-3_55
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ISTEX:BA831D72C6239F5018231B6555334A9AA229B7BDLe document en format XML
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They are all based on the idea that web pages (or more generally, resources), will contain semantic annotations that would allow remote agents to access them. However the problem of creating these annotations is seldom addressed. Manual creation of the annotations is not a feasible option, except in a few experimental cases. We propose an approach based on Language Processing techniques that addresses this issue, at least for textual resources (which still constitute the vast majority of the material available on the web). Documents are analyzed fully automatically and converted into a semantic annotation, which can then be stored together with the original documents. It is this annotation that constitutes the machine understandable resource that remote agents can query. A semi-automatic approach is also considered, in which the system suggests candidate annotations and the user simply has to approve or reject them. Advantages and drawbacks of both approaches are discussed.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Fabio Rinaldi</name><affiliations><json:string>Institute of Computational Linguistics, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland</json:string><json:string>E-mail: rinaldi@cl.unizh.ch</json:string></affiliations></json:item><json:item><name>Kaarel Kaljurand</name><affiliations><json:string>Institute of Computational Linguistics, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland</json:string></affiliations></json:item><json:item><name>James Dowdall</name><affiliations><json:string>Institute of Computational Linguistics, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland</json:string></affiliations></json:item><json:item><name>Michael Hess</name><affiliations><json:string>Institute of Computational Linguistics, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: Many of the proposed approaches to the semantic web have a substantial drawback. 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They are all based on the idea that web pages (or more generally, resources), will contain semantic annotations that would allow remote agents to access them. However the problem of creating these annotations is seldom addressed. Manual creation of the annotations is not a feasible option, except in a few experimental cases. We propose an approach based on Language Processing techniques that addresses this issue, at least for textual resources (which still constitute the vast majority of the material available on the web). Documents are analyzed fully automatically and converted into a semantic annotation, which can then be stored together with the original documents. It is this annotation that constitutes the machine understandable resource that remote agents can query. A semi-automatic approach is also considered, in which the system suggests candidate annotations and the user simply has to approve or reject them. 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190</Street><Postcode>CH-8057</Postcode><City>Zürich</City><Country>Switzerland</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Many of the proposed approaches to the semantic web have a substantial drawback. They are all based on the idea that web pages (or more generally, resources), will contain semantic annotations that would allow remote agents to access them. However the problem of creating these annotations is seldom addressed. Manual creation of the annotations is not a feasible option, except in a few experimental cases.</Para><Para>We propose an approach based on Language Processing techniques that addresses this issue, at least for textual resources (which still constitute the vast majority of the material available on the web). Documents are analyzed fully automatically and converted into a semantic annotation, which can then be stored together with the original documents. It is this annotation that constitutes the machine understandable resource that remote agents can query. A semi-automatic approach is also considered, in which the system suggests candidate annotations and the user simply has to approve or reject them. Advantages and drawbacks of both approaches are discussed.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></SubPart></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Breaking the Deadlock</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Breaking the Deadlock</title></titleInfo><name type="personal"><namePart type="given">Fabio</namePart><namePart type="family">Rinaldi</namePart><affiliation>Institute of Computational Linguistics, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland</affiliation><affiliation>E-mail: rinaldi@cl.unizh.ch</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Kaarel</namePart><namePart type="family">Kaljurand</namePart><affiliation>Institute of Computational Linguistics, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">James</namePart><namePart type="family">Dowdall</namePart><affiliation>Institute of Computational Linguistics, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Michael</namePart><namePart type="family">Hess</namePart><affiliation>Institute of Computational Linguistics, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="proceedings"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2003</dateIssued><copyrightDate encoding="w3cdtf">2003</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: Many of the proposed approaches to the semantic web have a substantial drawback. They are all based on the idea that web pages (or more generally, resources), will contain semantic annotations that would allow remote agents to access them. However the problem of creating these annotations is seldom addressed. Manual creation of the annotations is not a feasible option, except in a few experimental cases. We propose an approach based on Language Processing techniques that addresses this issue, at least for textual resources (which still constitute the vast majority of the material available on the web). Documents are analyzed fully automatically and converted into a semantic annotation, which can then be stored together with the original documents. It is this annotation that constitutes the machine understandable resource that remote agents can query. A semi-automatic approach is also considered, in which the system suggests candidate annotations and the user simply has to approve or reject them. Advantages and drawbacks of both approaches are discussed.</abstract><relatedItem type="host"><titleInfo><title>On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE</title><subTitle>OTM Confederated International Conferences, CoopIS, DOA, and ODBASE 2003, Catania, Sicily, Italy, November 3-7, 2003. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Robert</namePart><namePart type="family">Meersman</namePart><affiliation>STARLab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium</affiliation><affiliation>E-mail: meersman@vub.ac.be</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Zahir</namePart><namePart type="family">Tari</namePart><affiliation>School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, VIC 3001, Melbourne, Australia</affiliation><affiliation>E-mail: zahir.tari@rmit.edu.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Douglas</namePart><namePart type="given">C.</namePart><namePart type="family">Schmidt</namePart><affiliation>Department of Electrical Engineering and Computer Science, Vanderbilt University, TN 37203, Nashville, USA</affiliation><affiliation>E-mail: schmidt@dre.vanderbilt.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2003</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" authorityURI="I13022">Computer Communication Networks</topic><topic authority="SpringerSubjectCodes" authorityURI="I14029">Software Engineering</topic><topic authority="SpringerSubjectCodes" authorityURI="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="W26007">Business Information Systems</topic></subject><identifier type="DOI">10.1007/b94348</identifier><identifier type="ISBN">978-3-540-20498-5</identifier><identifier type="eISBN">978-3-540-39964-3</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">80684</identifier><identifier type="BookID">978-3-540-39964-3</identifier><identifier type="BookChapterCount">95</identifier><identifier type="BookVolumeNumber">2888</identifier><identifier type="BookSequenceNumber">2888</identifier><identifier type="PartChapterCount">30</identifier><part><date>2003</date><detail type="part"><title>Ontologies, Databases, and Applications of Semantics (ODBASE) 2003 International Conference</title></detail><detail type="volume"><number>2888</number><caption>vol.</caption></detail><extent unit="pages"><start>876</start><end>888</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2003</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Goos</namePart><affiliation>Karlsruhe University, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Juris</namePart><namePart type="family">Hartmanis</namePart><affiliation>Cornell University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jan</namePart><namePart type="family">van Leeuwen</namePart><affiliation>Utrecht University, The Netherlands</affiliation><role><roleTerm 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|area= TeiVM2
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:BA831D72C6239F5018231B6555334A9AA229B7BD
|texte= Breaking the Deadlock
}}
| This area was generated with Dilib version V0.6.31. |  |