Analysis and evaluation of techniques for the extraction of classes in the ontology learning process

This paper analyzes and evaluates, in the context of Ontology learning, some techniques to identify and extract candidate terms to classes of a taxonomy. Besides, this work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain go...

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Detalhes bibliográficos
Autores: Pedraza, Rafael, Vàllez Letrado, Mari, Codina, Lluís, Rovira, Cristòfol
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2010
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/16356
Acesso em linha:http://hdl.handle.net/10230/16356
http://dx.doi.org/10.1007/978-3-642-13033-5_50
Access Level:acceso abierto
Palavra-chave:Web semàntica
Ontologia
Adquisició del coneixement (Sistemes experts)
Semantic web
Ontolgy engineering
Ontology learning
Text mining
Language processing
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spelling Analysis and evaluation of techniques for the extraction of classes in the ontology learning processPedraza, RafaelVàllez Letrado, MariCodina, LluísRovira, CristòfolWeb semànticaOntologiaAdquisició del coneixement (Sistemes experts)Semantic webOntolgy engineeringOntology learningText miningLanguage processingThis paper analyzes and evaluates, in the context of Ontology learning, some techniques to identify and extract candidate terms to classes of a taxonomy. Besides, this work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain good terms candidate to classes of a taxonomy.The development of this research is partially supported by projects CSO 2008-02627 and CSO2009-13713-C05-04 of the Spanish Ministry of Science and Innovation.Springer201220122010info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/16356http://dx.doi.org/10.1007/978-3-642-13033-5_50reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésLecture Notes in Computer Science. 2010; 6098: 488-497info:eu-repo/grantAgreement/ES/3PN/CSO2008-02627info:eu-repo/grantAgreement/ES/3PN/CSO2009-13713© Springer-Verlag Berlin Heidelberg 2010info:eu-repo/semantics/openAccessoai:recercat.cat:10230/163562026-05-29T05:05:01Z
dc.title.none.fl_str_mv Analysis and evaluation of techniques for the extraction of classes in the ontology learning process
title Analysis and evaluation of techniques for the extraction of classes in the ontology learning process
spellingShingle Analysis and evaluation of techniques for the extraction of classes in the ontology learning process
Pedraza, Rafael
Web semàntica
Ontologia
Adquisició del coneixement (Sistemes experts)
Semantic web
Ontolgy engineering
Ontology learning
Text mining
Language processing
title_short Analysis and evaluation of techniques for the extraction of classes in the ontology learning process
title_full Analysis and evaluation of techniques for the extraction of classes in the ontology learning process
title_fullStr Analysis and evaluation of techniques for the extraction of classes in the ontology learning process
title_full_unstemmed Analysis and evaluation of techniques for the extraction of classes in the ontology learning process
title_sort Analysis and evaluation of techniques for the extraction of classes in the ontology learning process
dc.creator.none.fl_str_mv Pedraza, Rafael
Vàllez Letrado, Mari
Codina, Lluís
Rovira, Cristòfol
author Pedraza, Rafael
author_facet Pedraza, Rafael
Vàllez Letrado, Mari
Codina, Lluís
Rovira, Cristòfol
author_role author
author2 Vàllez Letrado, Mari
Codina, Lluís
Rovira, Cristòfol
author2_role author
author
author
dc.subject.none.fl_str_mv Web semàntica
Ontologia
Adquisició del coneixement (Sistemes experts)
Semantic web
Ontolgy engineering
Ontology learning
Text mining
Language processing
topic Web semàntica
Ontologia
Adquisició del coneixement (Sistemes experts)
Semantic web
Ontolgy engineering
Ontology learning
Text mining
Language processing
description This paper analyzes and evaluates, in the context of Ontology learning, some techniques to identify and extract candidate terms to classes of a taxonomy. Besides, this work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain good terms candidate to classes of a taxonomy.
publishDate 2010
dc.date.none.fl_str_mv 2010
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/16356
http://dx.doi.org/10.1007/978-3-642-13033-5_50
url http://hdl.handle.net/10230/16356
http://dx.doi.org/10.1007/978-3-642-13033-5_50
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Lecture Notes in Computer Science. 2010; 6098: 488-497
info:eu-repo/grantAgreement/ES/3PN/CSO2008-02627
info:eu-repo/grantAgreement/ES/3PN/CSO2009-13713
dc.rights.none.fl_str_mv © Springer-Verlag Berlin Heidelberg 2010
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © Springer-Verlag Berlin Heidelberg 2010
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,223283

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