Cooperative Question Answering Semantic Web

Detalhes bibliográficos
Autor(a) principal: Melo, Dora
Data de Publicação: 2011
Outros Autores: Rodrigues, Irene Pimenta, Nogueira, Vitor
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/4738
Resumo: In this paper we propose a Cooperative Question Answering System that takes as input queries expressed in natural language and is able to return a cooperative answer obtained from resources in the Semantic Web, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of the semantic resources by the user. The natural language question is translated into its semantic representation and then answered by consulting the semantics information sources. If there are multiple answers to the question posed (or to the similar questions for which DBpedia contains answers), they will be grouped according to their semantic meaning, providing a more cooperative and clean answer to the user.
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spelling Cooperative Question Answering Semantic WebNatural LanguageOntologyQuestion AnsweringSemantic WebIn this paper we propose a Cooperative Question Answering System that takes as input queries expressed in natural language and is able to return a cooperative answer obtained from resources in the Semantic Web, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of the semantic resources by the user. The natural language question is translated into its semantic representation and then answered by consulting the semantics information sources. If there are multiple answers to the question posed (or to the similar questions for which DBpedia contains answers), they will be grouped according to their semantic meaning, providing a more cooperative and clean answer to the user.Escola de Ciências e Tecnologia, Universidade de Évora2012-01-31T11:46:45Z2012-01-312011-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/4738http://hdl.handle.net/10174/4738pormelo_2011_jiuedmelo@iscac.ptipr@di.uevora.ptvbn@di.uevora.pt498Melo, DoraRodrigues, Irene PimentaNogueira, Vitorinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:42:56Zoai:dspace.uevora.pt:10174/4738Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:59:54.883447Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Cooperative Question Answering Semantic Web
title Cooperative Question Answering Semantic Web
spellingShingle Cooperative Question Answering Semantic Web
Melo, Dora
Natural Language
Ontology
Question Answering
Semantic Web
title_short Cooperative Question Answering Semantic Web
title_full Cooperative Question Answering Semantic Web
title_fullStr Cooperative Question Answering Semantic Web
title_full_unstemmed Cooperative Question Answering Semantic Web
title_sort Cooperative Question Answering Semantic Web
author Melo, Dora
author_facet Melo, Dora
Rodrigues, Irene Pimenta
Nogueira, Vitor
author_role author
author2 Rodrigues, Irene Pimenta
Nogueira, Vitor
author2_role author
author
dc.contributor.author.fl_str_mv Melo, Dora
Rodrigues, Irene Pimenta
Nogueira, Vitor
dc.subject.por.fl_str_mv Natural Language
Ontology
Question Answering
Semantic Web
topic Natural Language
Ontology
Question Answering
Semantic Web
description In this paper we propose a Cooperative Question Answering System that takes as input queries expressed in natural language and is able to return a cooperative answer obtained from resources in the Semantic Web, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of the semantic resources by the user. The natural language question is translated into its semantic representation and then answered by consulting the semantics information sources. If there are multiple answers to the question posed (or to the similar questions for which DBpedia contains answers), they will be grouped according to their semantic meaning, providing a more cooperative and clean answer to the user.
publishDate 2011
dc.date.none.fl_str_mv 2011-11-01T00:00:00Z
2012-01-31T11:46:45Z
2012-01-31
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/4738
http://hdl.handle.net/10174/4738
url http://hdl.handle.net/10174/4738
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language por
dc.relation.none.fl_str_mv melo_2011_jiue
dmelo@iscac.pt
ipr@di.uevora.pt
vbn@di.uevora.pt
498
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dc.publisher.none.fl_str_mv Escola de Ciências e Tecnologia, Universidade de Évora
publisher.none.fl_str_mv Escola de Ciências e Tecnologia, Universidade de Évora
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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