OMEGA: An Automatic Ontology Metadata Generation Algorithm
Identifieur interne : 000367 ( Istex/Corpus ); précédent : 000366; suivant : 000368OMEGA: An Automatic Ontology Metadata Generation Algorithm
Auteurs : Rachanee Ungrangsi ; Elena SimperlSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: At present, ontologies, independently of their location on the Web, are poorly documented, while additional descriptive information is spread across the Web in various forms, thus not being optimally accessible to potential users. State-of-the-art ontology location services offer a minimal set of search and navigation features, typically over a simple Web interface to the ontological resources administrated. Their retrieval functionality is significantly influenced by the absence of ontology metadata information. A first step towards the alleviation of this situation is the development of a feasible metadata schema for the systematic description of ontologies to allow a more effective access and exchange of ontologies across the Web. A second step, which is addressed in this paper, is the generation of the metadata information, particularly the mechanization of the process, as the only feasible means to scale at the number of ontologies constantly being developed in various sectors. We introduce OMEGA (Ontology MEtadata GenerAtion), an algorithm, which, as the name says, generates metadata about arbitrary ontologies on the Web in an automatic manner. The algorithm uses OMV (Ontology Metadata Vocabulary), as basic metadata schema capturing information about ontologies in a structured, machine-understandable form, and is available as Web application and REST Web service. It has been evaluated in terms of coverage, precision and recall, and overall user-perceived quality in several studies with positive results, providing thus a core building block for the realization of fully fledged ontology location services.
Url:
DOI: 10.1007/978-3-540-87696-0_22
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State-of-the-art ontology location services offer a minimal set of search and navigation features, typically over a simple Web interface to the ontological resources administrated. Their retrieval functionality is significantly influenced by the absence of ontology metadata information. A first step towards the alleviation of this situation is the development of a feasible metadata schema for the systematic description of ontologies to allow a more effective access and exchange of ontologies across the Web. A second step, which is addressed in this paper, is the generation of the metadata information, particularly the mechanization of the process, as the only feasible means to scale at the number of ontologies constantly being developed in various sectors. We introduce OMEGA (Ontology MEtadata GenerAtion), an algorithm, which, as the name says, generates metadata about arbitrary ontologies on the Web in an automatic manner. The algorithm uses OMV (Ontology Metadata Vocabulary), as basic metadata schema capturing information about ontologies in a structured, machine-understandable form, and is available as Web application and REST Web service. It has been evaluated in terms of coverage, precision and recall, and overall user-perceived quality in several studies with positive results, providing thus a core building block for the realization of fully fledged ontology location services.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Rachanee Ungrangsi</name><affiliations><json:string>Shinawatra University, 99 Moo 10, Bangtoey, Samkok, 12160, Pathumthani, Thailand</json:string><json:string>E-mail: rachanee@shinawatra.ac.th</json:string></affiliations></json:item><json:item><name>Elena Simperl</name><affiliations><json:string>STI Innsbruck, University of Innsbruck, Technikerstr. 21a, 6020, Innsbruck, Austria</json:string><json:string>E-mail: elena.simperl@sti2.at</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: At present, ontologies, independently of their location on the Web, are poorly documented, while additional descriptive information is spread across the Web in various forms, thus not being optimally accessible to potential users. 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State-of-the-art ontology location services offer a minimal set of search and navigation features, typically over a simple Web interface to the ontological resources administrated. Their retrieval functionality is significantly influenced by the absence of ontology metadata information. A first step towards the alleviation of this situation is the development of a feasible metadata schema for the systematic description of ontologies to allow a more effective access and exchange of ontologies across the Web. A second step, which is addressed in this paper, is the generation of the metadata information, particularly the mechanization of the process, as the only feasible means to scale at the number of ontologies constantly being developed in various sectors. We introduce OMEGA (Ontology MEtadata GenerAtion), an algorithm, which, as the name says, generates metadata about arbitrary ontologies on the Web in an automatic manner. The algorithm uses OMV (Ontology Metadata Vocabulary), as basic metadata schema capturing information about ontologies in a structured, machine-understandable form, and is available as Web application and REST Web service. It has been evaluated in terms of coverage, precision and recall, and overall user-perceived quality in several studies with positive results, providing thus a core building block for the realization of fully fledged ontology location services.</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>I21017</label><label>I18040</label><label>I18032</label><label>I2301X</label><label>I13022</label><item><term>Computer Science</term></item><item><term>Artificial Intelligence (incl. 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State-of-the-art ontology location services offer a minimal set of search and navigation features, typically over a simple Web interface to the ontological resources administrated. Their retrieval functionality is significantly influenced by the absence of ontology metadata information. A first step towards the alleviation of this situation is the development of a feasible metadata schema for the systematic description of ontologies to allow a more effective access and exchange of ontologies across the Web. A second step, which is addressed in this paper, is the generation of the metadata information, particularly the mechanization of the process, as the only feasible means to scale at the number of ontologies constantly being developed in various sectors. We introduce OMEGA (Ontology MEtadata GenerAtion), an algorithm, which, as the name says, generates metadata about arbitrary ontologies on the Web in an automatic manner. The algorithm uses OMV (Ontology Metadata Vocabulary), as basic metadata schema capturing information about ontologies in a structured, machine-understandable form, and is available as Web application and REST Web service. It has been evaluated in terms of coverage, precision and recall, and overall user-perceived quality in several studies with positive results, providing thus a core building block for the realization of fully fledged ontology location services.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>OMEGA: An Automatic Ontology Metadata Generation Algorithm</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>OMEGA: An Automatic Ontology Metadata Generation Algorithm</title></titleInfo><name type="personal"><namePart type="given">Rachanee</namePart><namePart type="family">Ungrangsi</namePart><affiliation>Shinawatra University, 99 Moo 10, Bangtoey, Samkok, 12160, Pathumthani, Thailand</affiliation><affiliation>E-mail: rachanee@shinawatra.ac.th</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Elena</namePart><namePart type="family">Simperl</namePart><affiliation>STI Innsbruck, University of Innsbruck, Technikerstr. 21a, 6020, Innsbruck, Austria</affiliation><affiliation>E-mail: elena.simperl@sti2.at</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" 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: At present, ontologies, independently of their location on the Web, are poorly documented, while additional descriptive information is spread across the Web in various forms, thus not being optimally accessible to potential users. State-of-the-art ontology location services offer a minimal set of search and navigation features, typically over a simple Web interface to the ontological resources administrated. Their retrieval functionality is significantly influenced by the absence of ontology metadata information. A first step towards the alleviation of this situation is the development of a feasible metadata schema for the systematic description of ontologies to allow a more effective access and exchange of ontologies across the Web. A second step, which is addressed in this paper, is the generation of the metadata information, particularly the mechanization of the process, as the only feasible means to scale at the number of ontologies constantly being developed in various sectors. We introduce OMEGA (Ontology MEtadata GenerAtion), an algorithm, which, as the name says, generates metadata about arbitrary ontologies on the Web in an automatic manner. The algorithm uses OMV (Ontology Metadata Vocabulary), as basic metadata schema capturing information about ontologies in a structured, machine-understandable form, and is available as Web application and REST Web service. It has been evaluated in terms of coverage, precision and recall, and overall user-perceived quality in several studies with positive results, providing thus a core building block for the realization of fully fledged ontology location services.</abstract><relatedItem type="host"><titleInfo><title>Knowledge Engineering: Practice and Patterns</title><subTitle>16th International Conference, EKAW 2008, Acitrezza, Italy, September 29 - October 2, 2008. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Aldo</namePart><namePart type="family">Gangemi</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jérôme</namePart><namePart type="family">Euzenat</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2008</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="I21017">Artificial Intelligence (incl. 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