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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/12/2008 |
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Data da última atualização: |
16/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
LEITE, M. A. de A.; RICARTE, I. L. M. |
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Afiliação: |
MARIA ANGELICA DE ANDRADE LEITE, CNPTIA; IVAN LUIZ MARQUES RICARTE, UNICAMP. |
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Título: |
A framework for information retrieval based on fuzzy relations and multiple ontologies. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: IBERO-AMERICAN CONFERENCE ON AI: ADVANCES IN ARTIFICIAL INTELLIGENCE, 11., 2008, Lisbon. Advances in artificial intelligence: proceedings. New York: Association for Computing Machinery, 2008. |
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Páginas: |
p. 292-301. |
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Série: |
(Lecture notes in artificial intelligence, 5290). |
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DOI: |
10.1007/978-3-540-88309-8_30 |
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Idioma: |
Inglês |
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Notas: |
IBERAMIA 2008. |
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Conteúdo: |
The 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. |
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Palavras-Chave: |
Apache Lucene; Fuzzy information retrieval; Knowledge representation; Ontologia; Ontology; Recuperação da informação; Representação do conhecimento. |
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Thesaurus Nal: |
Fuzzy logic; Information retrieval. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01978nam a2200277 a 4500
001 1009645
005 2020-01-16
008 2008 bl uuuu u00u1 u #d
024 7 $a10.1007/978-3-540-88309-8_30$2DOI
100 1 $aLEITE, M. A. de A.
245 $aA framework for information retrieval based on fuzzy relations and multiple ontologies.$h[electronic resource]
260 $aIn: IBERO-AMERICAN CONFERENCE ON AI: ADVANCES IN ARTIFICIAL INTELLIGENCE, 11., 2008, Lisbon. Advances in artificial intelligence: proceedings. New York: Association for Computing Machinery$c2008
300 $ap. 292-301.
490 $a(Lecture notes in artificial intelligence, 5290).
500 $aIBERAMIA 2008.
520 $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.
650 $aFuzzy logic
650 $aInformation retrieval
653 $aApache Lucene
653 $aFuzzy information retrieval
653 $aKnowledge representation
653 $aOntologia
653 $aOntology
653 $aRecuperação da informação
653 $aRepresentação do conhecimento
700 1 $aRICARTE, I. L. M.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
