Ontology Driven Knowledge Extraction System with Application in e-Government

Detalhes bibliográficos
Autor(a) principal: Rodrigues, M.
Data de Publicação: 2011
Outros Autores: Dias, G. Paiva, Teixeira, A
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/9284
Resumo: Important sources of information are originally created in natural language. To make that knowledge computer processable it is necessary to understand the structure of natural languages, by adding lexical and syntactic information; to have a rich representation to encode the knowledge of sentences, like ontologies; and to develop algorithms to bridge the gap between natural languages and computer processable representations. In this paper we present the architecture, modules and results of a prototype that uses an ontology to represent the world concepts and their relationships, and also to guide the process of extracting information from natural language documents. The system was tested using minutes of Portuguese municipalities’ meetings. Initial results are presented for three topics of municipalities' affairs: the subsidies granted, the building permits requested, and the existing protocols with other institutions.
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spelling Ontology Driven Knowledge Extraction System with Application in e-GovernmentEntities and relations extractionOntologyE-governmentImportant sources of information are originally created in natural language. To make that knowledge computer processable it is necessary to understand the structure of natural languages, by adding lexical and syntactic information; to have a rich representation to encode the knowledge of sentences, like ontologies; and to develop algorithms to bridge the gap between natural languages and computer processable representations. In this paper we present the architecture, modules and results of a prototype that uses an ontology to represent the world concepts and their relationships, and also to guide the process of extracting information from natural language documents. The system was tested using minutes of Portuguese municipalities’ meetings. Initial results are presented for three topics of municipalities' affairs: the subsidies granted, the building permits requested, and the existing protocols with other institutions.EPIA2012-11-12T16:28:21Z2011-10-01T00:00:00Z2011-10conference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10773/9284eng978-989-95618-4-7Rodrigues, M.Dias, G. PaivaTeixeira, Ainfo: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:RCAAP2024-05-06T03:43:08Zoai:ria.ua.pt:10773/9284Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-06T03:43:08Repositório 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 Driven Knowledge Extraction System with Application in e-Government
title Ontology Driven Knowledge Extraction System with Application in e-Government
spellingShingle Ontology Driven Knowledge Extraction System with Application in e-Government
Rodrigues, M.
Entities and relations extraction
Ontology
E-government
title_short Ontology Driven Knowledge Extraction System with Application in e-Government
title_full Ontology Driven Knowledge Extraction System with Application in e-Government
title_fullStr Ontology Driven Knowledge Extraction System with Application in e-Government
title_full_unstemmed Ontology Driven Knowledge Extraction System with Application in e-Government
title_sort Ontology Driven Knowledge Extraction System with Application in e-Government
author Rodrigues, M.
author_facet Rodrigues, M.
Dias, G. Paiva
Teixeira, A
author_role author
author2 Dias, G. Paiva
Teixeira, A
author2_role author
author
dc.contributor.author.fl_str_mv Rodrigues, M.
Dias, G. Paiva
Teixeira, A
dc.subject.por.fl_str_mv Entities and relations extraction
Ontology
E-government
topic Entities and relations extraction
Ontology
E-government
description Important sources of information are originally created in natural language. To make that knowledge computer processable it is necessary to understand the structure of natural languages, by adding lexical and syntactic information; to have a rich representation to encode the knowledge of sentences, like ontologies; and to develop algorithms to bridge the gap between natural languages and computer processable representations. In this paper we present the architecture, modules and results of a prototype that uses an ontology to represent the world concepts and their relationships, and also to guide the process of extracting information from natural language documents. The system was tested using minutes of Portuguese municipalities’ meetings. Initial results are presented for three topics of municipalities' affairs: the subsidies granted, the building permits requested, and the existing protocols with other institutions.
publishDate 2011
dc.date.none.fl_str_mv 2011-10-01T00:00:00Z
2011-10
2012-11-12T16:28:21Z
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 978-989-95618-4-7
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dc.publisher.none.fl_str_mv EPIA
publisher.none.fl_str_mv EPIA
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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