From BPEL4WS to OWL-S: Integrating E-Business Process Descriptions
SCC '05 Proceedings of the 2005 IEEE International Conference on Services Computing - Volume 01
Web Services for Geographic Information Systems
IEEE Internet Computing
Integrating Semantic and Syntactic Descriptions to Chain Geographic Services
IEEE Internet Computing
Semantics-based automatic composition of geospatial Web service chains
Computers & Geosciences
A survey of automated web service composition methods
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
GeoPW: Towards the Geospatial Processing Web
W2GIS '09 Proceedings of the 9th International Symposium on Web and Wireless Geographical Information Systems
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In a service-oriented environment, where large volumes of geospatial data and diverse geo-processing functions are accessible as services, it is necessary to create service chains as geo-processing workflows to solve complex geospatial problems. Approaches developed in the literature for chaining services can be classified into two categories: static and dynamic. Industry-wide standards such as BPEL provide languages for syntactic specification of service chains. They can not support dynamic service chaining directly, thus can be classified as static approaches. Semantic Web technologies have been widely used to enable dynamic service chaining and are being introduced into geospatial domain. Currently syntactic specification has its advantage in having concrete and industry-wide tools. To take the best from both approaches, this paper provides an approach to automatically transform semantic description from Semantic Web approaches to syntactic specification for geo-processing service chains. Both syntactic specification and semantic description for OGC standards-compliant geospatial Web services and geo-processing chains are provided and illustrated using OWL-S and BPEL. Transformation strategy is presented and a prototype tool transforming OWL-S to BPEL is implemented to demonstrate the applicability of our approach.