Abstract
Abstract. A lot of work has been done on the geospatial service composition to support advanced processing, spatial calculation, and invoking of heterogeneous data. However, the quality of service chain is rarely considered and the process model cannot be reused. A modeldriven way of geospatial web service composition is proposed in this work, the service composition is treated as an optimization problem by GwcsFlow model and dynamic binding mechanism. The case of facility location analysis is provided to demonstrate the improvements in geospatial service composition through optimization algorithms.
Highlights
With the emergence and development of the Service-Oriented Architecture(SOA), web service is playing a more and more important role in the data interoperability and cross-platform share
The existing problems are as follows: first, the quality of geospatial service is rarely considered during the construction of service chain; second, the process model of geospatial service chain cannot be shared and reused, since the process model generated by automatic composition is dynamic and does not have a fixed process model
Compared to common web service that conforms to w3c standard, the geoprocessing service is more complicated and relies more on the quality of service chain, the genetic algorithm is employed to optimize the service chain by satisfying the quality constraints
Summary
With the emergence and development of the Service-Oriented Architecture(SOA), web service is playing a more and more important role in the data interoperability and cross-platform share. Methods based on AI is able to complete the service composition automatically in certain extent, the task has to be decomposed in advance. The issues that geospatial web service composition handles include complicated processing, spatial calculation, and invoking of heterogeneous data. The existing problems are as follows: first, the quality of geospatial service is rarely considered during the construction of service chain; second, the process model of geospatial service chain cannot be shared and reused, since the process model generated by automatic composition is dynamic and does not have a fixed process model. The process model of composite service is able to be shared and reused because it’s independent on the specific language that describes the web service, such as wsdl, owls, wsmo and so on
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