OntoSmart: Um modelo de recuperação de informação baseado em ontologia

Detalhes bibliográficos
Autor(a) principal: Ferneda, Edberto [UNESP]
Data de Publicação: 2017
Outros Autores: Dias, Guilherme Ataíde
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/1981-5344/2081
http://hdl.handle.net/11449/179136
Resumo: Information retrieval system is a mediator element between a stock of information and its users. Its effectiveness depends on representation language of information items and requests of its users. This work presents an ontology-based information retrieval model which uses the formal structure of Vector Space Model. The vector that represent a document is created during the automatic indexing process, in which an ontology provide new terms in order to semantically enrich that representation. The search vector is created from a query expansion process, in which new terms are added in the search expression initially formulated by the user from inferences in the ontology. Using the proposed model, the OntoSmart system is being developed. Preliminary results show a significant improvement in the precision of search results.
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spelling OntoSmart: Um modelo de recuperação de informação baseado em ontologiaOntosmart: An ontology-based information retrievel modelAutomatic IndexingOntology-based Information RetrievalQuery ExpansionVector Space ModelInformation retrieval system is a mediator element between a stock of information and its users. Its effectiveness depends on representation language of information items and requests of its users. This work presents an ontology-based information retrieval model which uses the formal structure of Vector Space Model. The vector that represent a document is created during the automatic indexing process, in which an ontology provide new terms in order to semantically enrich that representation. The search vector is created from a query expansion process, in which new terms are added in the search expression initially formulated by the user from inferences in the ontology. Using the proposed model, the OntoSmart system is being developed. Preliminary results show a significant improvement in the precision of search results.Departamento de Ciência da Informação Universidade Estadual Paulista 'Julio Mesquita Filho' (UNESP)Universidade Federal da ParaíbaDepartamento de Ciência da Informação Universidade Estadual Paulista 'Julio Mesquita Filho' (UNESP)Universidade Estadual Paulista (Unesp)Universidade Federal da Paraíba (UFPB)Ferneda, Edberto [UNESP]Dias, Guilherme Ataíde2018-12-11T17:33:54Z2018-12-11T17:33:54Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article170-187application/pdfhttp://dx.doi.org/10.1590/1981-5344/2081Perspectivas em Ciencia da Informacao, v. 22, n. 2, p. 170-187, 2017.1981-53441413-9936http://hdl.handle.net/11449/17913610.1590/1981-5344/2081S1413-993620170002001702-s2.0-85028522101S1413-99362017000200170.pdf85965682286768200000-0002-8808-1217Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporPerspectivas em Ciencia da Informacao0,203info:eu-repo/semantics/openAccess2023-10-28T06:12:10Zoai:repositorio.unesp.br:11449/179136Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:18:14.537462Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv OntoSmart: Um modelo de recuperação de informação baseado em ontologia
Ontosmart: An ontology-based information retrievel model
title OntoSmart: Um modelo de recuperação de informação baseado em ontologia
spellingShingle OntoSmart: Um modelo de recuperação de informação baseado em ontologia
Ferneda, Edberto [UNESP]
Automatic Indexing
Ontology-based Information Retrieval
Query Expansion
Vector Space Model
title_short OntoSmart: Um modelo de recuperação de informação baseado em ontologia
title_full OntoSmart: Um modelo de recuperação de informação baseado em ontologia
title_fullStr OntoSmart: Um modelo de recuperação de informação baseado em ontologia
title_full_unstemmed OntoSmart: Um modelo de recuperação de informação baseado em ontologia
title_sort OntoSmart: Um modelo de recuperação de informação baseado em ontologia
author Ferneda, Edberto [UNESP]
author_facet Ferneda, Edberto [UNESP]
Dias, Guilherme Ataíde
author_role author
author2 Dias, Guilherme Ataíde
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal da Paraíba (UFPB)
dc.contributor.author.fl_str_mv Ferneda, Edberto [UNESP]
Dias, Guilherme Ataíde
dc.subject.por.fl_str_mv Automatic Indexing
Ontology-based Information Retrieval
Query Expansion
Vector Space Model
topic Automatic Indexing
Ontology-based Information Retrieval
Query Expansion
Vector Space Model
description Information retrieval system is a mediator element between a stock of information and its users. Its effectiveness depends on representation language of information items and requests of its users. This work presents an ontology-based information retrieval model which uses the formal structure of Vector Space Model. The vector that represent a document is created during the automatic indexing process, in which an ontology provide new terms in order to semantically enrich that representation. The search vector is created from a query expansion process, in which new terms are added in the search expression initially formulated by the user from inferences in the ontology. Using the proposed model, the OntoSmart system is being developed. Preliminary results show a significant improvement in the precision of search results.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
2018-12-11T17:33:54Z
2018-12-11T17:33:54Z
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://dx.doi.org/10.1590/1981-5344/2081
Perspectivas em Ciencia da Informacao, v. 22, n. 2, p. 170-187, 2017.
1981-5344
1413-9936
http://hdl.handle.net/11449/179136
10.1590/1981-5344/2081
S1413-99362017000200170
2-s2.0-85028522101
S1413-99362017000200170.pdf
8596568228676820
0000-0002-8808-1217
url http://dx.doi.org/10.1590/1981-5344/2081
http://hdl.handle.net/11449/179136
identifier_str_mv Perspectivas em Ciencia da Informacao, v. 22, n. 2, p. 170-187, 2017.
1981-5344
1413-9936
10.1590/1981-5344/2081
S1413-99362017000200170
2-s2.0-85028522101
S1413-99362017000200170.pdf
8596568228676820
0000-0002-8808-1217
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Perspectivas em Ciencia da Informacao
0,203
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 170-187
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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