OntoSmart: Um modelo de recuperação de informação baseado em ontologia

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 Ve...

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Detalles Bibliográficos
Autores: Ferneda, Edberto [UNESP], Dias, Guilherme Ataíde
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:Brasil
Institución:Universidade Estadual Paulista (UNESP)
Repositorio:Repositório Institucional da UNESP
Idioma:portugués
OAI Identifier:oai:repositorio.unesp.br:11449/179136
Acceso en línea:http://dx.doi.org/10.1590/1981-5344/2081
http://hdl.handle.net/11449/179136
Access Level:acceso abierto
Palabra clave:Automatic Indexing
Ontology-based Information Retrieval
Query Expansion
Vector Space Model
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spelling OntoSmart: Um modelo de recuperação de informação baseado em ontologia Ontosmart: An ontology-based information retrievel model Ferneda, Edberto [UNESP] Dias, Guilherme Ataíde Automatic Indexing Ontology-based Information Retrieval Query Expansion Vector Space Model 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. Departamento de Ciência da Informação Universidade Estadual Paulista 'Julio Mesquita Filho' (UNESP) Universidade Federal da Paraíba 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
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
topic Automatic Indexing
Ontology-based Information Retrieval
Query Expansion
Vector Space Model
topic_facet 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
format article
status_str publishedVersion
url http://dx.doi.org/10.1590/1981-5344/2081
http://hdl.handle.net/11449/179136
language por
eu_rights_str_mv openAccess
institution UNESP
collection Repositório Institucional da UNESP
reponame_str Repositório Institucional da UNESP
instname_str Universidade Estadual Paulista (UNESP)
_version_ 1878418481394745344
publishDateSort 2017
author_browse Dias, Guilherme Ataíde
Ferneda, Edberto [UNESP]
score 6.924472

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