作者: Sérgio AB Cruz , Antonio MV Monteiro , Rafael Santos , None
DOI: 10.1016/J.CAGEO.2011.11.020
关键词: Architecture 、 Web Coverage Service 、 World Wide Web 、 Geospatial analysis 、 Geospatial PDF 、 Computer science 、 Automated planning and scheduling 、 Web service 、 Robustness (computer science) 、 Software engineering 、 Service-oriented architecture
摘要: Service-Oriented Architecture and Web Services technologies improve the performance of activities involved in geospatial analysis with a distributed computing architecture. However, design process on this platform, by combining component Services, presents some open issues. The automated construction these compositions represents an important research topic. Some approaches to solving problem are based AI planning methods coupled semantic service descriptions. This work new approach using robustness produced composition. For purpose, we use descriptions data quality requirements rule-based form. These rules allow annotation and, conditional method, more precisely situations nonconformities geodata that may occur during execution Service method robust, thus improving reliability when working composition chained Services.