Data/hora: 05/06/2024 00:39:48

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