Semantic Execution Meets Geospatial Web Services: A Pilot Application

  1. Raluca Zaharia1,
  2. Laurentiu Vasiliu1,
  3. Joerg Hoffman2,
  4. Eva Klien3

Article first published online: 19 FEB 2009

DOI: 10.1111/j.1467-9671.2008.01135.x

Issue

Transactions in GIS

Transactions in GIS

Volume 12, Issue Supplement s1, pages 59–73, December 2008

Additional Information

How to Cite

Zaharia, R., Vasiliu, L., Hoffman, J. and Klien, E. (2008), Semantic Execution Meets Geospatial Web Services: A Pilot Application. Transactions in GIS, 12: 59–73. doi: 10.1111/j.1467-9671.2008.01135.x

Author Information

  1. 1

    Digital Enterprise Research Institute National University of Ireland

  2. 2

    SAP Research CEC Karlsruhe, Germany

  3. 3

    Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany

*Address for correspondence: Raluca Zaharia, Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland. E-mail: raluca.zaharia@deri.org

Publication History

  1. Issue published online: 19 FEB 2009
  2. Article first published online: 19 FEB 2009

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Keywords:

  • Abstract State Machines;
  • Geospatial applications;
  • Semantic Web Services;
  • Semantic execution;
  • WSMO/WSML/WSMX

Abstract

Geospatial web services can be enhanced with semantic web service techniques in order to solve the existing interoperability issues in the geospatial domain. Therefore a large number of services can be composed to provide meaningful results to complex geospatial queries, but as the complexity grows, the users face serious performance problems. On top of existing geospatial web services we adopt the WSMO/L/X framework which provides a model to define machine and human-understandable semantic descriptions, full support for mediation and a simple language to choreograph the execution of a composition of several geospatial web services. Our research focus is on the semantic execution and its performance inside the WSMX platform. Our core contributions are: (1) providing a solution for automated semantic execution of geospatial queries; and (2) providing a combination of techniques and improvements to the efficiency aspect.

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