Ontology-based Service Component Model for Interoperability of Service Systems

  • Zhongjie Wang
  • Xiaofei Xu


Service system as the foundation for service providers and customers to create and capture value via co-production relationship, is a complex socio-technological system composed of people, techniques and shared information. One of the most significant characteristics of a service system is that there exist a mass of dynamic, stochastic and semantic interactions (i.e., interoperability) between heterogeneous service elements. For better considerations on interoperability during service system design, we import OWL-based service ontology to precisely express service semantics. Based on such ontology, heterogeneous service elements are elaborately classified and encapsulated into a unified form “Service Component” with a set of uniform interfaces to expose or acquire semantics-based services to/from outside. In such way, right service components will be chosen out by ontology matching, and semantics conflicts between service elements will be easily discovered. Based on interface connections, selected service components are weaved together to form service system with good interoperability performance.


Ontology based methods and tools for interoperability Design methodologies for interoperable systems Model Driven Architectures for interoperability 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    B. Elvesæter, A. Hahn, A.-J. Berre, and T. Neple. Towards an interoperability framework for model-driven development of software systems. The 2nd International Conference on Interoperability of Enterprise Software and Applications. Springer London, 2006, 409–420.CrossRefGoogle Scholar
  2. [2]
    D.E. Cox and H. Kreger. Management of the service-oriented architecture life cycle. IBM Systems Journal, 2005, 44(4): 709–726.CrossRefGoogle Scholar
  3. [3]
    G. Vetere and M. Lenzerini. Models for semantic interoperability in service-oriented architectures. IBM Systems Journal, 2005, 44(4): 887–903.Google Scholar
  4. [4]
    H. Cai. A two steps method for analyzing dependency of business services on it services within a Service Life Cycle. ICWS’06. 877–884.Google Scholar
  5. [5]
    H. Chesbrough and J. Spohrer. A research manifesto for services science. Communications of the ACM, 2006, 49(7): 35–39.CrossRefGoogle Scholar
  6. [6]
    IBM. Service Sciences, Management and Engineering (SSME). com/SSMEGoogle Scholar
  7. [7]
    J. Spohrer, P. Maglio, J. Bailey, and D. Gruhl. Steps towards a Science of Service Systems. IEEE Computer, 2007, 40(1):71–77.Google Scholar
  8. [8]
    J.M. Tien and D. Berg. Towards Service Systems Engineering. IEEE International Conference on Systems, Man and Cybernetics, 2003, 5(5): 4890–4895.Google Scholar
  9. [9]
    Q.G. Liu, J. Zhou, and J.Y. Li. Catastrophe modeling for service system in the networked environment. 2006 Asia Pacific Symposium on Service Science, Management and Engineering. Nov. 30–Dec. 1, 2006, Beijing, China.Google Scholar
  10. [10]
    R. Karni and M. Kaner. An engineering tool for the conceptual design of service systems. Springer Berlin Heidelberg. Advances in Services Innovations. 2000, 65–83.Google Scholar
  11. [11]
    R.D. Mascio. Service process control: a method to compare dynamic robustness of alternative service processes. Journal of Process Control. 2003, 13(7): 645–653.CrossRefGoogle Scholar
  12. [12]
    R.X. Yuan and X. Zhang. Spatial characteristics of agent behavior in small world networks. 2006 Asia Pacific Symposium on Service Science, Management and Engineering. Nov. 30–Dec. 1, 2006, Beijing, China.Google Scholar
  13. [13]
    Stanford Medical Informatics. The Protégé ontology editor and knowledge acquisition system. Scholar
  14. [14]
    The OWL Services Coalition. OWL-S: Semantic Markup for Web Services. Scholar
  15. [15]
    W.B. Rouse and M.L. Baba. Enterprise transformation. Communications of the ACM, 2006, 49(7): 66–72.CrossRefGoogle Scholar
  16. [16]
    W.-F. Tung and S.-T. Yuan. iDesign: an intelligent design framework for service innovation. Proceedings of 40th Hawaii International Conference on System Sciences (HICSS 40), Hawaii, USA. January 3–6, 2007. 64–73.Google Scholar
  17. [17]
    W3C. OWL Web Ontology Language Overview. Scholar
  18. [18]
    Wikipedia. Scholar

Copyright information

© Springer-Verlag London Limited 2008

Authors and Affiliations

  • Zhongjie Wang
    • 1
  • Xiaofei Xu
    • 1
  1. 1.Research Center of Intelligent Computing for Enterprises and Services (ICES), School of Computer Science and TechnologyHarbin Institute of TechnologyHarbinChina

Personalised recommendations