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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
07/01/2010 |
Data da última atualização: |
15/01/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
Autoria: |
CRUZ, S. A. B. da; MONTEIRO, A. M. V.; SANTOS, R. |
Afiliação: |
SERGIO APARECIDO BRAGA DA CRUZ, CNPTIA; ANTONIO MIGUEL VIEIRA MONTEIRO, DPI/INPE; RAFAEL SANTOS, IAC/INPE. |
Título: |
Increasing process reliability in a geospatial web services composition. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON GEOINFORMATICS, 17., 2009, Fairfax. Proceedings... Fairfax: George Mason University, 2009. |
Páginas: |
Não paginado. |
Idioma: |
Inglês |
Conteúdo: |
This work proposes a method to specify the data quality requirements for the composition of geospatial web services at a semantic level, by using a rule-based approach. Those rules allow the semantic annotation of spatial data, and coupled with the conditional planning method, it can model more precisely the unpredicability of the compliance with the data quality requirements during the composition run-time. The mechanisms that automate the web services composition using artificial intelligence planning can incorporate those rules. The service composition produced by this method are more robust, thus improving process reliability when working with a composition of chained geospatial web services. |
Palavras-Chave: |
AI planning; Dados geoespaciais; Data quality; Geospatial web services composition; Qualidade de dados; Sistemas de informações geográficas. |
Thesaurus Nal: |
Geographic information systems; Spatial data. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 01531nam a2200241 a 4500 001 1579929 005 2020-01-15 008 2009 bl uuuu u00u1 u #d 100 1 $aCRUZ, S. A. B. da 245 $aIncreasing process reliability in a geospatial web services composition.$h[electronic resource] 260 $aIn: INTERNATIONAL CONFERENCE ON GEOINFORMATICS, 17., 2009, Fairfax. Proceedings... Fairfax: George Mason University$c2009 300 $aNão paginado. 520 $aThis work proposes a method to specify the data quality requirements for the composition of geospatial web services at a semantic level, by using a rule-based approach. Those rules allow the semantic annotation of spatial data, and coupled with the conditional planning method, it can model more precisely the unpredicability of the compliance with the data quality requirements during the composition run-time. The mechanisms that automate the web services composition using artificial intelligence planning can incorporate those rules. The service composition produced by this method are more robust, thus improving process reliability when working with a composition of chained geospatial web services. 650 $aGeographic information systems 650 $aSpatial data 653 $aAI planning 653 $aDados geoespaciais 653 $aData quality 653 $aGeospatial web services composition 653 $aQualidade de dados 653 $aSistemas de informações geográficas 700 1 $aMONTEIRO, A. M. V. 700 1 $aSANTOS, R.
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