Semantic Web Services‐based process planning for earth science applications |
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| Authors: | Peng Yue Wenli Yang Genong Yu Peisheng Zhao Jianya Gong |
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| Institution: | 1. Center for Spatial Information Science and Systems (CSISS) , George Mason University , 6301 Ivy Lane, Suite 620, Greenbelt, MD 20770, USA;2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing , Wuhan University , 129 Luoyu Road, Wuhan 430079, China;3. Center for Spatial Information Science and Systems (CSISS) , George Mason University , 6301 Ivy Lane, Suite 620, Greenbelt, MD 20770, USA;4. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing , Wuhan University , 129 Luoyu Road, Wuhan 430079, China |
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| Abstract: | In a Web service‐based distributed environment, individual services must be chained together dynamically to solve a complex real world problem. The Semantic Web Service has shown promise for automatic chaining of Web services. This paper addresses semi‐automatic geospatial service chaining through Semantic Web Services‐based process planning. Process planning includes three phases: process modeling, process model instantiation and workflow execution. Ontologies and Artificial Intelligence (AI) planning methods are employed in process planning to help a user dynamically create an executable workflow for earth science applications. In particular, the approach was implemented in a common data and service environment enabled by interoperable standards from OGC and W3C. A case study of the chaining process for wildfire prediction illustrates the applicability of this approach. |
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| Keywords: | Geospatial web service Service composition Service chain Semantics Ontology AI planning |
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