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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
17/12/2009 |
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Data da última atualização: |
15/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
MACÁRIO, C. G. N.; SOUSA, S. R. de; MEDEIROS, C. B. |
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Afiliação: |
CARLA GEOVANA DO NASCIMENTO MACARIO, CNPTIA; SIDNEY ROBERTO DE SOUSA, Unicamp; CLAUDIA BAUZER MEDEIROS, Unicamp. |
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Título: |
Annotating geospatial data based on its semantics. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, 17., 2009, Seattle. Proceedings... NewYork: ACM, 2009. |
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Páginas: |
p. 81-90. |
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Idioma: |
Inglês |
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Notas: |
ACM SIGSPATIAL GIS 2009. |
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Conteúdo: |
Geospatial information (GI) constitutes a significant portion of available data and are a key factor in planning and decision-making in a variety of domains, such as emergency management and agriculture. However, to be used, these data have to be interpreted, sometimes producing new data and information. This new information is generally embedded on additional files, or remains on experts' brains. Hence, every time a user wants to use its knowledge, data have to be interpreted again. This paper presents a framework for alleviating this problem based on semi-automatic annotation of geospatial data. This framework is described in detail, as well the choices made in its design and implementation. At the end, we present a case study in agriculture, used to validate our proposal. |
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Palavras-Chave: |
Anotação semântica; Dados geoespaciais; Geospatial standards; Semantic annotation; Semantic interoperability. |
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Thesaurus Nal: |
Spatial data. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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100 1 $aMACÁRIO, C. G. N.
245 $aAnnotating geospatial data based on its semantics.$h[electronic resource]
260 $aIn: ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, 17., 2009, Seattle. Proceedings... NewYork: ACM$c2009
300 $ap. 81-90.
500 $aACM SIGSPATIAL GIS 2009.
520 $aGeospatial information (GI) constitutes a significant portion of available data and are a key factor in planning and decision-making in a variety of domains, such as emergency management and agriculture. However, to be used, these data have to be interpreted, sometimes producing new data and information. This new information is generally embedded on additional files, or remains on experts' brains. Hence, every time a user wants to use its knowledge, data have to be interpreted again. This paper presents a framework for alleviating this problem based on semi-automatic annotation of geospatial data. This framework is described in detail, as well the choices made in its design and implementation. At the end, we present a case study in agriculture, used to validate our proposal.
650 $aSpatial data
653 $aAnotação semântica
653 $aDados geoespaciais
653 $aGeospatial standards
653 $aSemantic annotation
653 $aSemantic interoperability
700 1 $aSOUSA, S. R. de
700 1 $aMEDEIROS, C. B.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| 4. |  | CIABOTTI, S.; JUHÁSZ, A. C. P.; MANDARINO, J. M. G.; COSTA, L. L.; CORREA, A. D.; SIMÃO, A. A.; SANTOS, E. N. F. Chemical composition and lipoxygenase activity of soybean (Glycine max L. Merrill.) genotypes, specific for human consumption, with different tegument colours. Brazilian Journal of Food Technology, v. 22, e2018003, 2019. 10 p. Título em português: Composição química e atividade de lipoxigenase em genótipos de soja (Glycine max L. Merrill.), específicos para alimentação humana, com diferentes colorações de tegumento.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
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| Registros recuperados : 4 | |
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