Title:	Using multiple related ontologies in a fuzzy information retrieval model.
Authors:	LEITE, M. A. de A. RICARTE, I. L. M.
Affiliation:	MARIA ANGELICA DE ANDRADE LEITE, CNPTIA; IVAN LUIZ MARQUES RICARTE, Unicamp.
Date Issued:	2008
Citation:	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.
Pages:	Não paginado.
Description:	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.
NAL Thesaurus:	Models information retrieval
Keywords:	Web semântica Fuzzy Ontologia Modelagem Recuperação da informação Ontology
Notes:	SBIA 2008.
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPTIA)