|
|
Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
23/01/2012 |
Data da última atualização: |
23/01/2012 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
GONÇALVES, R. M.; PEDRO, E. S.; PEDRO, F. R.; FIGUEIREDO, J. E. F.; PACCOLA-MEIRELLES, L. D. |
Afiliação: |
JOSE EDSON FONTES FIGUEIREDO, CNPMS. |
Título: |
Identificação molecular de fungos isolados de lesões necróticas de mancha branca do milho. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Tropical Plant Pathology, Brasília, DF, v. 36, p. 971, ago. 2011. |
Idioma: |
Português |
Notas: |
Edição dos resumos do 44º Congresso Brasileiro de Fitopatologia, 2011, Bento Gonçalves. Resumo 1378. |
Thesagro: |
Doença de planta; Zea Mays. |
Categoria do assunto: |
H Saúde e Patologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/52692/1/Identificacao-molecular-2.pdf
|
Marc: |
LEADER 00695nam a2200181 a 4500 001 1913180 005 2012-01-23 008 2011 bl uuuu u00u1 u #d 100 1 $aGONÇALVES, R. M. 245 $aIdentificação molecular de fungos isolados de lesões necróticas de mancha branca do milho.$h[electronic resource] 260 $aTropical Plant Pathology, Brasília, DF, v. 36, p. 971, ago. 2011.$c2011 500 $aEdição dos resumos do 44º Congresso Brasileiro de Fitopatologia, 2011, Bento Gonçalves. Resumo 1378. 650 $aDoença de planta 650 $aZea Mays 700 1 $aPEDRO, E. S. 700 1 $aPEDRO, F. R. 700 1 $aFIGUEIREDO, J. E. F. 700 1 $aPACCOLA-MEIRELLES, L. D.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
31/07/2012 |
Data da última atualização: |
08/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
LEITE, M. A. A.; RICARTE, I. L. M. |
Afiliação: |
MARIA ANGELICA ANDRADE LEITE, CNPTIA; IVAN LUIZ MARQUES RICARTE, FEEC/Unicamp. |
Título: |
Relating ontologies with a fuzzy information model. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Knowledge and Information Systems, London, 2012. |
Páginas: |
Não paginado. |
DOI: |
10.1007/s10115-012-0482-0 |
Idioma: |
Inglês |
Conteúdo: |
More people than ever before have access to information with the World Wide Web; information volume and number of users both continue to expand. Traditional search methods based on keywords are not effective, resulting in large lists of documents, many of which unrelated to users? needs. One way to improve information retrieval is to associate meaning to users? queries by using ontologies, knowledge bases that encode a set of concepts about one domain and their relationships. Encoding a knowledge base using one single ontology is usual, but a document collection can deal with different domains, each organized into an ontology. This work presents a novel way to represent and organize knowledge, from distinct domains, using multiple ontologies that can be related. The model allows the ontologies, as well as the relationships between concepts from distinct ontologies, to be represented independently. Additionally, fuzzy set theory techniques are employed to deal with knowledge subjectivity and uncertainty. This approach to organize knowledge and an associated query expansion method are integrated into a fuzzy model for information retrieval based on multi-related ontologies. The performance of a search engine using this model is compared with another fuzzy-based approach for information retrieval, and with the Apache Lucene search engine. Experimental results show that this model improves precision and recall measures. |
Palavras-Chave: |
Modelo fuzzy; Ontologias; Organização da informação. |
Thesaurus NAL: |
Fuzzy logic. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02029naa a2200205 a 4500 001 1929972 005 2020-01-08 008 2012 bl uuuu u00u1 u #d 024 7 $a10.1007/s10115-012-0482-0$2DOI 100 1 $aLEITE, M. A. A. 245 $aRelating ontologies with a fuzzy information model.$h[electronic resource] 260 $c2012 300 $aNão paginado. 520 $aMore people than ever before have access to information with the World Wide Web; information volume and number of users both continue to expand. Traditional search methods based on keywords are not effective, resulting in large lists of documents, many of which unrelated to users? needs. One way to improve information retrieval is to associate meaning to users? queries by using ontologies, knowledge bases that encode a set of concepts about one domain and their relationships. Encoding a knowledge base using one single ontology is usual, but a document collection can deal with different domains, each organized into an ontology. This work presents a novel way to represent and organize knowledge, from distinct domains, using multiple ontologies that can be related. The model allows the ontologies, as well as the relationships between concepts from distinct ontologies, to be represented independently. Additionally, fuzzy set theory techniques are employed to deal with knowledge subjectivity and uncertainty. This approach to organize knowledge and an associated query expansion method are integrated into a fuzzy model for information retrieval based on multi-related ontologies. The performance of a search engine using this model is compared with another fuzzy-based approach for information retrieval, and with the Apache Lucene search engine. Experimental results show that this model improves precision and recall measures. 650 $aFuzzy logic 653 $aModelo fuzzy 653 $aOntologias 653 $aOrganização da informação 700 1 $aRICARTE, I. L. M. 773 $tKnowledge and Information Systems, London, 2012.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|