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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
17/08/2012 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CRUZ, S. A. B.; MONTEIRO, A. M. V.; SANTOS, R. |
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Afiliação: |
SERGIO APARECIDO BRAGA DA CRUZ, CNPTIA; ANTONIO M. V. MONTEIRO, Inpe; RAFAEL SANTOS, Inpe. |
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Título: |
Automated geospatial Web Services composition based on geodata quality requirements. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Computers & Geosciences, New York, v. 47, p. 60-74, Oct. 2012. |
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DOI: |
10.1016/j.cageo.2011.11.020 |
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Idioma: |
Inglês |
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Conteúdo: |
Service-Oriented Architecture and Web Services technologies improve the performance of activities involved in geospatial analysis with a distributed computing architecture. However, the design of the geospatial analysis process on this platform, by combining component Web Services, presents some open issues. The automated construction of these compositions represents an important research topic. Some approaches to solving this problem are based on AI planning methods coupled with semantic service descriptions. This work presents a new approach using AI planning methods to improve the robustness of the produced geospatial Web Services composition. For this purpose, we use semantic descriptions of geospatial data quality requirements in a rule-based form. These rules allow the semantic annotation of geospatial data and, coupled with the conditional planning method, this approach represents more precisely the situations of nonconformities with geodata quality that may occur during the execution of the Web Service composition. The service compositions produced by this method are more robust, thus improving process reliability when working with a composition of chained geospatial Web Services. |
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Palavras-Chave: |
Dados geoespaciais; Geoprocessamento. |
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Thesagro: |
Tecnologia da Informação. |
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Thesaurus NAL: |
Geospatial science and technology; Information technology; Spatial data. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 1931488
005 2020-01-08
008 2012 bl uuuu u00u1 u #d
024 7 $a10.1016/j.cageo.2011.11.020$2DOI
100 1 $aCRUZ, S. A. B.
245 $aAutomated geospatial Web Services composition based on geodata quality requirements.$h[electronic resource]
260 $c2012
520 $aService-Oriented Architecture and Web Services technologies improve the performance of activities involved in geospatial analysis with a distributed computing architecture. However, the design of the geospatial analysis process on this platform, by combining component Web Services, presents some open issues. The automated construction of these compositions represents an important research topic. Some approaches to solving this problem are based on AI planning methods coupled with semantic service descriptions. This work presents a new approach using AI planning methods to improve the robustness of the produced geospatial Web Services composition. For this purpose, we use semantic descriptions of geospatial data quality requirements in a rule-based form. These rules allow the semantic annotation of geospatial data and, coupled with the conditional planning method, this approach represents more precisely the situations of nonconformities with geodata quality that may occur during the execution of the Web Service composition. The service compositions produced by this method are more robust, thus improving process reliability when working with a composition of chained geospatial Web Services.
650 $aGeospatial science and technology
650 $aInformation technology
650 $aSpatial data
650 $aTecnologia da Informação
653 $aDados geoespaciais
653 $aGeoprocessamento
700 1 $aMONTEIRO, A. M. V.
700 1 $aSANTOS, R.
773 $tComputers & Geosciences, New York$gv. 47, p. 60-74, Oct. 2012.
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