Ontology Mapping for a Legal Question Answering System
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/1500 |
Resumo: | Legal information retrieval systems, such question answering, use legal ontologies to represent semantic objects, to associate them with legal documents and to make inferences about them. The ontology mapping process can help users to reuse and compare information from different ontologies. In this paper we present a review on legal ontologies and present an approach to ontology mapping based on argumentation. Individual mappings are computed by specialized agents using different mapping approaches. Next, these agents use argumentation to exchange their local results, in order to agree on the obtained mappings. To each argument is associated a strength, representing how confident an agent is in the similarity of two ontology terms. Based on their preferences and confidence of the arguments, the agents compute their preferred mapping sets. The arguments in such preferred sets are viewed as the set of globally acceptable arguments. This work is part of a question answering system for the legal domain. |
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Ontology Mapping for a Legal Question Answering Systemlegal question-answering systemsontologiesLegal information retrieval systems, such question answering, use legal ontologies to represent semantic objects, to associate them with legal documents and to make inferences about them. The ontology mapping process can help users to reuse and compare information from different ontologies. In this paper we present a review on legal ontologies and present an approach to ontology mapping based on argumentation. Individual mappings are computed by specialized agents using different mapping approaches. Next, these agents use argumentation to exchange their local results, in order to agree on the obtained mappings. To each argument is associated a strength, representing how confident an agent is in the similarity of two ontology terms. Based on their preferences and confidence of the arguments, the agents compute their preferred mapping sets. The arguments in such preferred sets are viewed as the set of globally acceptable arguments. This work is part of a question answering system for the legal domain.2009-04-08T15:23:43Z2009-04-082007-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article139672 bytesapplication/pdfhttp://hdl.handle.net/10174/1500http://hdl.handle.net/10174/1500eng1-10livrecassia@di.uevora.ptpq@di.uevora.ptrenatav@unisinos.brJurix 2007 Workshop on Multimedia Ontologies and Artificial Intelligence Techniques in Law283Trojahn, CássiaQuaresma, PauloVieira, Renatainfo: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:RCAAP2024-01-03T18:37:33Zoai:dspace.uevora.pt:10174/1500Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:57:34.289905Repositório 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 |
Ontology Mapping for a Legal Question Answering System |
title |
Ontology Mapping for a Legal Question Answering System |
spellingShingle |
Ontology Mapping for a Legal Question Answering System Trojahn, Cássia legal question-answering systems ontologies |
title_short |
Ontology Mapping for a Legal Question Answering System |
title_full |
Ontology Mapping for a Legal Question Answering System |
title_fullStr |
Ontology Mapping for a Legal Question Answering System |
title_full_unstemmed |
Ontology Mapping for a Legal Question Answering System |
title_sort |
Ontology Mapping for a Legal Question Answering System |
author |
Trojahn, Cássia |
author_facet |
Trojahn, Cássia Quaresma, Paulo Vieira, Renata |
author_role |
author |
author2 |
Quaresma, Paulo Vieira, Renata |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Trojahn, Cássia Quaresma, Paulo Vieira, Renata |
dc.subject.por.fl_str_mv |
legal question-answering systems ontologies |
topic |
legal question-answering systems ontologies |
description |
Legal information retrieval systems, such question answering, use legal ontologies to represent semantic objects, to associate them with legal documents and to make inferences about them. The ontology mapping process can help users to reuse and compare information from different ontologies. In this paper we present a review on legal ontologies and present an approach to ontology mapping based on argumentation. Individual mappings are computed by specialized agents using different mapping approaches. Next, these agents use argumentation to exchange their local results, in order to agree on the obtained mappings. To each argument is associated a strength, representing how confident an agent is in the similarity of two ontology terms. Based on their preferences and confidence of the arguments, the agents compute their preferred mapping sets. The arguments in such preferred sets are viewed as the set of globally acceptable arguments. This work is part of a question answering system for the legal domain. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-01-01T00:00:00Z 2009-04-08T15:23:43Z 2009-04-08 |
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/10174/1500 http://hdl.handle.net/10174/1500 |
url |
http://hdl.handle.net/10174/1500 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1-10 livre cassia@di.uevora.pt pq@di.uevora.pt renatav@unisinos.br Jurix 2007 Workshop on Multimedia Ontologies and Artificial Intelligence Techniques in Law 283 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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139672 bytes application/pdf |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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