Semi-automatic Composition of Geospatial Web Services Using JBoss Rules

  • Raluca Zaharia
  • Laurenţiu Vasiliu
  • Costin Bădică
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5321)


The main research focus toward the Semantic Web vision has been so far on conceptualization, while little concern was spent on the efficiency aspect. In this paper we present practical experiences gained with the implementation of a use case from the geospatial domain, in particular a semi-automatic semantic composition of the functionality provided by 7 geospatial web services. Although we obtained the desired results with our initial approach, the performance aspect was unsatisfactory. For this reason we started the investigation into how significant performance improvements could be obtained. We identified rule engines as a solution that would easily fit into our framework and also were mature enough in terms of complexity and execution speed. We provide a new execution solution based on JBoss Rules and compare it with previous implementations.


State Ontology Query Answering Abstract State Machine Rule Engine Helper Fact 
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  1. 1.
    Semantic Web services INteropeability for Geospatial decision making (SWING),
  2. 2.
    Langlois, J., Tertre, F., Bercker, J., Lips, A.: SWING deliverable 1.1 Use Case Definition and IT Requirements (2007),
  3. 3.
    Börger, E., Stärk, R.: Abstract State Machines: A Method for High-Level System Design and Analysis. Springer, Heidelberg (2003)CrossRefzbMATHGoogle Scholar
  4. 4.
    Forgy, C.: Rete: A Fast Algorithm for the Many Patterns/Many Objects Match Problem. Artificial Intelligence 19(1), 17–37 (1978)CrossRefGoogle Scholar
  5. 5.
    Semantic Markup for Web Services,
  6. 6.
    Semantic Annotations for WSDL and XML Schema,
  7. 7.
    Vitvar, T., Zaremba, M., Moran, M., Zaremba, M., Fensel, D.: SESA: Emerging Technology for Service-Centric Environments. IEEE Software magazine 24(6), 56–67 (2007)CrossRefGoogle Scholar
  8. 8.
    Vitvar, T., Mocan, A., Kerrigan, M., Zaremba, M., Zaremba, M., Moran, M., Cimpian, E., Haselwanter, T., Fensel, D.: Semantically-enabled Service Oriented Architecture: Concepts, Technology and Application. In: Service Oriented Computing and Applications, vol. 1(2), pp. 129–154. Springer, Heidelberg (2007)Google Scholar
  9. 9.
    Fensel, D., Lausen, H., de Bruijn, J., Stollberg, M., Roman, D., Polleres, A., Domingue, J.: Enabling Semantic Web Services: The Web Service Modeling Ontology, 10.1007/978-3-540-34520-6_5, 57–61Google Scholar
  10. 10.
    Lausen, H., de Bruijn, J., Krummenacher, R., Polleres, A., Predoiu, L., Kifer, M., Fensel, D.: D16.1v0.21 The Web Service Modeling Language,
  11. 11.
    Zaremba, M., Moran, M., Haselwanter, T.: D13.4v0.2 WSMX Architecture (2005),
  12. 12.
    Fensel, D., Polleres, A., de Bruijn, J.: D14v1.0. Ontology-based Choreography (2007),
  13. 13.
    Haller, A., Scicluna, J., Haselwanter, T.: D13.9v0.1 WSMX Choreography (2005),
  14. 14.
    de Bruijn, J., Feier, C., Keller, U., Lara, R., Polleres, A., Predoiu, L.: D16.2 v0.2 WSML Reasoner Survey,
  15. 15.
  16. 16.
  17. 17.
  18. 18.
    Internet Reasoning Service,
  19. 19.
  20. 20.
    Java Expert System Shell,

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Raluca Zaharia
    • 1
  • Laurenţiu Vasiliu
    • 1
  • Costin Bădică
    • 2
  1. 1.Digital Enterprise Research InstituteNational University of IrelandGalwayIreland
  2. 2.Software Engineering DepartmentUniversity of CraiovaRomania

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