Using multiple related ontologies in a fuzzy information retrieval model.

dc.contributorMARIA ANGELICA DE ANDRADE LEITE, CNPTIA; IVAN LUIZ MARQUES RICARTE, Unicamp.
dc.creatorLEITE, M. A. de A.
dc.creatorRICARTE, I. L. M.
dc.date2017-04-11T15:53:31Z
dc.date2017-04-11T15:53:31Z
dc.date2009-02-12
dc.date2008
dc.date2020-01-31T11:11:11Z
dc.date.accessioned2026-07-07T04:14:53Z
dc.descriptionWith 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.
dc.descriptionSBIA 2008.
dc.formatNão paginado.
dc.identifierIn: 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.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/17792
dc.identifier.urihttp://hdl.handle.net/123456789/455420
dc.languageeng
dc.rightsopenAccess
dc.subjectWeb semântica
dc.subjectFuzzy
dc.subjectOntologia
dc.subjectModelagem
dc.subjectRecuperação da informação
dc.subjectOntology
dc.subjectModels
dc.subjectinformation retrieval
dc.titleUsing multiple related ontologies in a fuzzy information retrieval model.
dc.typeArtigo em anais e proceedings

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