Environment Ontology-Based Capability Specification for Web Service Discovery

  • Puwei Wang
  • Zhi Jin
  • Lin Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4260)


During Web service discovery, capabilities of Web services are of major concern. This paper proposes an environment ontology based approach for specifying Web service capability semantically. First, a meta-level environment ontology is adopted in the proposed approach to provide formal and sharable specifications of environment resources in a particular domain. For each environment resource, we build a corresponding hierarchical state machine specifying its dynamic characteristics. Second, we propose to use the effect of a Web service on its environment resources for specifying the Web service capability and to designate the effect as the traces of the state transitions the Web service can impose on its environment resources. Finally, we give the mechanism to match service query with service capability description.


Environment Ontology Capability Specification Service Discovery 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    The OWL Services Coalition, OWL-S: Semantic Markup for Web Services (2004),
  2. 2.
    WSMO project site (Web Service Modeling Ontology),
  3. 3.
    Wombacher, A., Fankhuaser, P., Mahleko, B., et al.: Matchmakeing for Business Processes based on Choreographies. In: Proceedings of the 2004 IEEE Conference on and Enterprise Computing, E-Commerce and E-Services (2004)Google Scholar
  4. 4.
    Mahleko, B., Wombacher, A.: A grammar-based index for matching business processes. In: Proceedings of the 2005 IEEE International Conference on Web Services (2005)Google Scholar
  5. 5.
    Shen, Z., Su, J.: Web Service Discovery Based on Behavior Signatures. In: Proceedings of the 2005 IEEE International Conference on Services Computing (2005)Google Scholar
  6. 6.
    Grigori, D., Bouzeghoub, M.: Service retrieval based on behavioral specification. In: Proceedings of the 2005 IEEE International Conference on Services Computing (2005)Google Scholar
  7. 7.
    Wang, P., Jin, Z., Liu, L.: On Constructing Environment Ontology for Semantic Web Services. In: Proceedings of the First International Conference on Knowledge Science, Engineering and Management (to appear, 2006)Google Scholar
  8. 8.
    Maedche, A., Staab, S.: Ontology Learning for the Semantic Web. IEEE intelligent systems, 72–79 (March/April 2001)Google Scholar
  9. 9.
    Heimdahl, M.P.E., Leveson, N.G.: Completeness and Consistency in Hierarchical State-Based Requirments. IEEE Transaction on software engineering 22(6) (June 1996)Google Scholar
  10. 10.
    Christensen, E., Curbera, F., Meredith, G., et al.: Web Services Description Language (WSDL) 1.1 Technical Report, W3C (2001),
  11. 11.
    Clement, L., Hately, A., von Riegen, C., et al.: UDDI version 3.0 (2004),
  12. 12.
    METOR-S project site (METEOR for Semantic Web Service),
  13. 13.
    Bansal, S., Vidal, J.M.: Matchmaking of Web Services Based on the DAML-S Service Model. In: AAMAS 2003, July 14-18. ACM, New York (2003)Google Scholar
  14. 14.
    Brogi, A., et al.: Flexible Matchmaking of Web Services Using DAML-S Ontologies. In: ICSOC 2004, November 15-18 (2004)Google Scholar
  15. 15.
    Sycara, K., Widoff, S., Klusch, M., et al.: LARKS: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace. In: Autonomous Agents and Multi-Agent Systems, vol. 5, pp. 173–203. Kluwer Academic Publishers, Dordrecht (2002)Google Scholar
  16. 16.
    Salaun, G., Bordeaux, L., Schaerf, M.: Describing and Reasoning on Web Services using Process Algebra. In: Proceeding of the 2004 IEEE international Conference on Web Service (2004)Google Scholar
  17. 17.
    Zave, P., Jackson, M.: Four dark corners of requirements engineering. ACM Transactions on Software Engineering and Methodolgy 6(1), 1–30 (1997)CrossRefGoogle Scholar
  18. 18.
    Gunter, C.A., Gunter, E.L., Jackson, M., et al.: A reference model for requirements and specification. IEEE Software 17(3), 37–43 (2000)CrossRefGoogle Scholar
  19. 19.
    Wang, X.H., Zhang, D.Q., Gu, T.: Ontology Based Context Modeling and Reasoning using OWL. In: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications WorkshopsGoogle Scholar
  20. 20.
    Maamar, Z., Kouadri Mostefaoui, S., Yahyaoui, H.: Toward an Agent-Based and Context-Oriented Approach for Web Services Composition. IEEE transaction on knowledge and data engineering 17(5) (May 2005)Google Scholar
  21. 21.
    Dey, A.K., Abowd, G.D., Salber, D.: A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications. Human-Computer Interaction J., special issue on context-aware computing 16(1) (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Puwei Wang
    • 1
    • 3
  • Zhi Jin
    • 1
    • 2
  • Lin Liu
    • 4
  1. 1.Institute of Computing TechnologyChinese Academy of Sciences 
  2. 2.Academy of Mathematics and System Sciences, Chinese Academy of Sciences 
  3. 3.Graduate University of Chinese Academy of Sciences 
  4. 4.School of SoftwareTsinghua UniversityBeijingChina

Personalised recommendations