Data/hora: 21/06/2024 03:48:15

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	12/02/2009	
Data da última atualização: 	31/01/2020	
Autoria: 	LEITE, M. A. de A.; RICARTE, I. L. M.	
Afiliação: 	MARIA ANGELICA DE ANDRADE LEITE, CNPTIA; IVAN LUIZ MARQUES RICARTE, Unicamp.	
Título: 	Using multiple related ontologies in a fuzzy information retrieval model.	
Ano de publicação: 	2008	
Fonte/Imprenta: 	In: BRAZILIAN SYMPOSIUM ON ARTIFICIAL INTELLIGENCE, 19.; BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, 10.; WORKSHOP ON ONTOLOGIES AND THEIR APPLICATIONS, 3., 2008, Salvador. Proceedings... Salvador: UFBA, 2008.	
Páginas: 	Não paginado.	
Idioma: 	Inglês	
Notas: 	SBIA 2008.	
Conteúdo: 	With the Semantic Web progress many independently developed distinct domain ontologies have to be shared and reused by a variety of applications. The use of ontologies in information retrieval applications allows the retrieval of semantically related documents to an initial users´ query. This work presents a fuzzy information retrieval model for improving the document retrieval process considering a knowledge base composed of multiple domain ontologies that are fuzzy related. Each ontology can be represented independently as well as their relationships. This knowledge organization is used in a novel method to expand the user initial query and to index the documents in the collection. Experimental results show that the proposed model presents better overall performance when compared with another fuzzy-based approach for information retrieval.	
Palavras-Chave: 	Fuzzy; Modelagem; Ontologia; Ontology; Recuperação da informação; Web semântica.	
Thesaurus Nal: 	information retrieval; Models.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/158805/1/PL-UsingMultiple-2008.pdf	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (12473-1) - UPC - AA - PP -  -  - 2009.00019 - DES
CNPTIA - (12473-2) - UPC - AA - DD -  -  -  - DIS