01531nam a2200241 a 450000100080000000500110000800800410001910000220006024501000008226001260018230000190030852007100032765000350103765000170107265300160108965300230110565300170112865300400114565300230118565300430120870000230125170000150127415799292020-01-15       2009    bl uuuu     u00u1 u    #d1 aCRUZ, S. A. B. da  aIncreasing process reliability in a geospatial web services composition.h[electronic resource]  aIn: INTERNATIONAL CONFERENCE ON GEOINFORMATICS, 17., 2009, Fairfax. Proceedings... Fairfax: George Mason Universityc2009  aNão paginado.  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.  aGeographic information systems  aSpatial data  aAI planning  aDados geoespaciais  aData quality  aGeospatial web services composition  aQualidade de dados  aSistemas de informações geográficas1 aMONTEIRO, A. M. V.1 aSANTOS, R.