Data/hora: 04/06/2024 11:06:29

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 10/12/2008
Data da última atualização: | 16/01/2020
Autoria: | LEITE, M. A. de A.; RICARTE, I. L. M.
Afiliação: | MARIA ANGELICA DE ANDRADE LEITE, CNPTIA; IVAN LUIZ MARQUES RICARTE, UNICAMP.
Título: | A framework for information retrieval based on fuzzy relations and multiple ontologies.
Ano de publicação: | 2008
Fonte/Imprenta: | In: IBERO-AMERICAN CONFERENCE ON AI: ADVANCES IN ARTIFICIAL INTELLIGENCE, 11., 2008, Lisbon. Advances in artificial intelligence: proceedings. New York: Association for Computing Machinery, 2008.
Páginas: | p. 292-301.
Série: | (Lecture notes in artificial intelligence, 5290).
DOI: | 10.1007/978-3-540-88309-8_30
Idioma: | Inglês
Notas: | IBERAMIA 2008.
Conteúdo: | The use of knowledge in the information retrieval process allows the return of documents semantically related to the initial user's query. This knowledge can be encoded in a knowledge base to be used in information retrieval systems. The framework for information retrieval based on fuzzy relations and multiple ontologies is a proposal to retrieve information using a knowledge base composed of multiple related ontologies whose relationships are expressed as fuzzy relations. Using this knowledge organization a new method to expand the user query is proposed. The framework provides a way that each ontology can be represented independently as well as their relationships. The proposed framework performance is compared with another fuzzy-based approach for information retrieval. Also the query expansion method is tested with the Apache Lucene search engine. In both cases the proposed framework improves the obtained results.
Palavras-Chave: | Apache Lucene; Fuzzy information retrieval; Knowledge representation; Ontologia; Ontology; Recuperação da informação; Representação do conhecimento.
Thesaurus Nal: | Fuzzy logic; Information retrieval.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
Registro original: | Embrapa Agricultura Digital (CNPTIA)

Exemplares:

CNPTIA - (12412-1) - UPC - AA - PP -  -  - 2008.00191 - DES
CNPTIA - (12412-2) - UPC - AA - DD -  -  -  - DIS