Increasing Process Reliability in a Geospatial Web Services Composition

被引:0
|
作者
Cruz, Sergio A. B. [1 ]
Vieira Monteiro, Antonio Miguel [1 ]
Santos, Rafael [1 ]
机构
[1] Natl Inst Space Res INPE, Sao Jose Dos Campos, SP, Brazil
关键词
geospatial web services composition; data quality; GIS; AI planning; SEMANTICS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 unpredictability 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.
引用
收藏
页码:1043 / 1048
页数:6
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