Model-driven Geospatial Web Service Composition

نویسندگان

  • Wu Du
  • Hong Fan
  • Jian Li
  • Haibo Wang
چکیده

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. Corresponding author

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تاریخ انتشار 2014