01978nam a2200277 a 450000100080000000500110000800800410001902400380006010000230009824501150012126001990023630000160043549000540045150000190050552009360052465000160146065000260147665300180150265300320152065300290155265300140158165300130159565300340160865300360164270000220167810096452020-01-16       2008    bl uuuu     u00u1 u    #d7 a10.1007/978-3-540-88309-8_302DOI1 aLEITE, M. A. de A.  aA framework for information retrieval based on fuzzy relations and multiple ontologies.h[electronic resource]  aIn: IBERO-AMERICAN CONFERENCE ON AI: ADVANCES IN ARTIFICIAL INTELLIGENCE, 11., 2008, Lisbon. Advances in artificial intelligence: proceedings. New York: Association for Computing Machineryc2008  ap. 292-301.  a(Lecture notes in artificial intelligence, 5290).  aIBERAMIA 2008.  aThe 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.  aFuzzy logic  aInformation retrieval  aApache Lucene  aFuzzy information retrieval  aKnowledge representation  aOntologia  aOntology  aRecuperação da informação  aRepresentação do conhecimento1 aRICARTE, I. L. M.