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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
20/10/2005 |
Data da última atualização: |
22/11/2012 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
SALIS, S. M.; ASSIS, M. A.; MATTOS, P. P. de; PIÃO, A. C. S. |
Título: |
Allometric relationships for estimating above-ground biomass for woodland savanna trees in the Pantanal of Mato Grosso do Sul, Brazil. |
Ano de publicação: |
2005 |
Fonte/Imprenta: |
In: IUFRO World Congress, 22., 2005, Brisbane. Forests in the balance: linking tradition and technology: program & abstracts. [Vienna]: IUFRO, 2005. |
Descrição Física: |
1 CD-ROM. |
Idioma: |
Inglês |
Notas: |
Também publicado no The International Forestry Review, Oxford, v. 7, n. 5, p. 331, Aug. 2005. Resumo. |
Palavras-Chave: |
Mato Grosso do Sul. |
Thesagro: |
Biomassa. |
Thesaurus Nal: |
Pantanal. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/66242/1/SP0544.pdf
|
Marc: |
LEADER 00790nam a2200193 a 4500 001 1311606 005 2012-11-22 008 2005 bl uuuu u00u1 u #d 100 1 $aSALIS, S. M. 245 $aAllometric relationships for estimating above-ground biomass for woodland savanna trees in the Pantanal of Mato Grosso do Sul, Brazil. 260 $aIn: IUFRO World Congress, 22., 2005, Brisbane. Forests in the balance: linking tradition and technology: program & abstracts. [Vienna]: IUFRO$c2005 300 $c1 CD-ROM. 500 $aTambém publicado no The International Forestry Review, Oxford, v. 7, n. 5, p. 331, Aug. 2005. Resumo. 650 $aPantanal 650 $aBiomassa 653 $aMato Grosso do Sul 700 1 $aASSIS, M. A. 700 1 $aMATTOS, P. P. de 700 1 $aPIÃO, A. C. S.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
12/02/2009 |
Data da última atualização: |
31/01/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
Autoria: |
LEITE, M. A. de A.; RICARTE, I. L. M. |
Afiliação: |
MARIA ANGELICA DE ANDRADE LEITE, CNPTIA; IVAN LUIZ MARQUES RICARTE, Unicamp. |
Título: |
Using multiple related ontologies in a fuzzy information retrieval model. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
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. |
Páginas: |
Não paginado. |
Idioma: |
Inglês |
Notas: |
SBIA 2008. |
Conteúdo: |
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. |
Palavras-Chave: |
Fuzzy; Modelagem; Ontologia; Ontology; Recuperação da informação; Web semântica. |
Thesaurus NAL: |
information retrieval; Models. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/158805/1/PL-UsingMultiple-2008.pdf
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Marc: |
LEADER 01691nam a2200241 a 4500 001 1017792 005 2020-01-31 008 2008 bl uuuu u00u1 u #d 100 1 $aLEITE, M. A. de A. 245 $aUsing multiple related ontologies in a fuzzy information retrieval model.$h[electronic resource] 260 $aIn: BRAZILIAN SYMPOSIUM ON ARTIFICIAL INTELLIGENCE, 19.; BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, 10.; WORKSHOP ON ONTOLOGIES AND THEIR APPLICATIONS, 3., 2008, Salvador. Proceedings... Salvador: UFBA$c2008 300 $aNão paginado. 500 $aSBIA 2008. 520 $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. 650 $ainformation retrieval 650 $aModels 653 $aFuzzy 653 $aModelagem 653 $aOntologia 653 $aOntology 653 $aRecuperação da informação 653 $aWeb semântica 700 1 $aRICARTE, I. L. M.
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