Ontology Driven Knowledge Extraction System with Application in e-Government
Autor(a) principal: | |
---|---|
Data de Publicação: | 2011 |
Outros Autores: | , |
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. |
id |
RCAP_ee2319b8090693178003c3aca16e4dbf |
---|---|
oai_identifier_str |
oai:ria.ua.pt:10773/9284 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/9284 |
url |
http://hdl.handle.net/10773/9284 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-989-95618-4-7 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
_version_ |
1817543472820781056 |