01691nam a2200241 a 450000100080000000500110000800800410001910000230006024501010008326002090018430000190039350000150041252008590042765000260128665000110131265300100132365300140133365300140134765300130136165300340137465300190140870000220142710177922020-01-31       2008    bl uuuu     u00u1 u    #d1 aLEITE, M. A. de A.  aUsing multiple related ontologies in a fuzzy information retrieval model.h[electronic resource]  aIn: BRAZILIAN SYMPOSIUM ON ARTIFICIAL INTELLIGENCE, 19.; BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, 10.; WORKSHOP ON ONTOLOGIES AND THEIR APPLICATIONS, 3., 2008, Salvador. Proceedings... Salvador: UFBAc2008  aNão paginado.  aSBIA 2008.  aWith 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.  ainformation retrieval  aModels  aFuzzy  aModelagem  aOntologia  aOntology  aRecuperação da informação  aWeb semântica1 aRICARTE, I. L. M.