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| Registros recuperados : 38 | |
| Registros recuperados : 38 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
04/10/2010 |
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Data da última atualização: |
23/05/2011 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MACARIO, C. G. N.; SANTOS, J. A. dos; MEDEIROS, C. B.; TORRES, R. da S. |
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Afiliação: |
CARLA GEOVANA DO NASCIMENTO MACARIO, CNPTIA; JEFERSSON A. DOS SANTOS, IC/UNICAMP; CLAUDIA BAUZER MEDEIROS, IC/UNICAMP; RICARDO DA S. TORRES, IC/UNICAMP. |
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Título: |
Annotating data to support decision-making: a case study. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: WORKSHOP ON GEOGRAPHIC INFORMATION RETRIEVAL, 6, 2010, Zurich. Proceedings... New York: ACM, 2010. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
GIR'10. |
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Conteúdo: |
Georeferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a time-consuming task. One approach to alleviate this task, is the use of semantic annotations to store the produced information. Annotating data is however hard to perform and prone to errors, especially when executed manually. This difficulty increases with the amount of data to annotate. Moreover, annotation requires multidisciplinary collaboration of researchers, with access to heterogeneous and distributed data sources and scientific computations. This paper illustrates our solution to approach this problem by means of a case study in agriculture. It shows how our implementation of a framework to automate the annotation of geospatial data can be used to process real data from remote sensing images and other official Brazilian data sources. |
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Palavras-Chave: |
Anotação semântica; Dados geoespaciais; Georreferenciamento; Geospatial data; Geospatial standards; Imagens de sensoriamento remoto; Semantic annotation. |
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Thesaurus NAL: |
Remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/19372/1/a20.pdf
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Marc: |
LEADER 01785nam a2200265 a 4500
001 1863469
005 2011-05-23
008 2010 bl uuuu u00u1 u #d
100 1 $aMACARIO, C. G. N.
245 $aAnnotating data to support decision-making$ba case study.$h[electronic resource]
260 $aIn: WORKSHOP ON GEOGRAPHIC INFORMATION RETRIEVAL, 6, 2010, Zurich. Proceedings... New York: ACM$c2010
300 $aNão paginado.
500 $aGIR'10.
520 $aGeoreferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a time-consuming task. One approach to alleviate this task, is the use of semantic annotations to store the produced information. Annotating data is however hard to perform and prone to errors, especially when executed manually. This difficulty increases with the amount of data to annotate. Moreover, annotation requires multidisciplinary collaboration of researchers, with access to heterogeneous and distributed data sources and scientific computations. This paper illustrates our solution to approach this problem by means of a case study in agriculture. It shows how our implementation of a framework to automate the annotation of geospatial data can be used to process real data from remote sensing images and other official Brazilian data sources.
650 $aRemote sensing
653 $aAnotação semântica
653 $aDados geoespaciais
653 $aGeorreferenciamento
653 $aGeospatial data
653 $aGeospatial standards
653 $aImagens de sensoriamento remoto
653 $aSemantic annotation
700 1 $aSANTOS, J. A. dos
700 1 $aMEDEIROS, C. B.
700 1 $aTORRES, R. da S.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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