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IRS-III: A Broker for Semantic Web Services Based Applications

  • Liliana Cabral
  • John Domingue
  • Stefania Galizia
  • Alessio Gugliotta
  • Vlad Tanasescu
  • Carlos Pedrinaci
  • Barry Norton
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4273)

Abstract

In this paper we describe IRS-III which takes a semantic broker based approach to creating applications from Semantic Web Services by mediating between a service requester and one or more service providers. Business organisations can view Semantic Web Services as the basic mechanism for integrating data and processes across applications on the Web. This paper extends previous publications on IRS by providing an overall description of our framework from the point of view of application development. More specifically, we describe the IRS-III methodology for building applications using Semantic Web Services and illustrate our approach through a use case on e-government.

Keywords

Domain Ontology Mapping Rule Semantic Description Abstract State Machine Mediation Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Cabral, L., Domingue, J.: Mediation of Semantic Web Services in IRS-III. In: Workshop on Mediation in Semantic Web Services (MEDIATE 2005) in conjunction with the 3rd International Conference on Service Oriented Computing (ICSOC 2005), Amsterdam (2005)Google Scholar
  2. 2.
    Cabral, L., Domingue, J., Motta, E., Payne, T., Hakimpour, F.: Approaches to Semantic Web Services: an Overview and Comparisons. In: Bussler, C.J., Davies, J., Fensel, D., Studer, R. (eds.) ESWS 2004. LNCS, vol. 3053, pp. 225–239. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  3. 3.
    Crubezy, M., Motta, E., Lu, W., Musen, M.: Configuring Online Problem-Solving Resources with the Internet Reasoning Service. IEEE Intelligent Systems 2, 34–42 (2003)CrossRefGoogle Scholar
  4. 4.
    Dimitrov, M., Simov, A., Montchev, V., Ognanov, D.: WSMO Studio: an Interfaced Service Environment for WSMO. In: Workshop on WSMO Implementations (WIW 2005). CEUR Workshop Proceedings, Frankfurt, Germany, vol. 134 (2005)Google Scholar
  5. 5.
    Domingue, J., Cabral, L., Hakimpour, F., Sell, D., Motta, E.: IRS-III: A Platform and Infrastructure for Creating WSMO-based Semantic Web Services. In: Workshop on WSMO Implementations (WIW 2004). CEUR Workshop Proceedings, Frankfurt, Germany, vol. 113 (2004)Google Scholar
  6. 6.
    Domingue, J., Galizia, S., Cabral, L.: The Choreography Model for IRS-III. In: Proceedings of Hawaii International Conference on System Sciences (HICSS 2006), Hawaii (2006)Google Scholar
  7. 7.
    Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2) (1993)Google Scholar
  8. 8.
    Motta, E.: Reusable Components for Knowledge Modelling. IOSPress, Amsterdam (1999)MATHGoogle Scholar
  9. 9.
    Motta, E., Domingue, J., Cabral, L., Gaspari, M.: IRS-II: A Framework and Infrastructure for Semantic Web Services. In: Fensel, D., Sycara, K.P., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 306–318. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  10. 10.
    Omelayenko, B., Crubezy, M., Fensel, D., Benjamins, R., Wielinga, B., Motta, E., Musen, M., Ding, Y.: UPML: The language and Tool Support for Making the Semantic Web Alive. In: Fensel, D., et al. (eds.) Spinning the Semantic Web: Bringing the WWW to its Full Potential, pp. 141–170. MIT Press, Cambridge (2003)Google Scholar
  11. 11.
    WSMO Working Group. Deliverable D2v1.2 Web Service Modeling Ontology (WSMO) (2005), http://www.wsmo.org/TR/d2/v1.2/

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Liliana Cabral
    • 1
  • John Domingue
    • 1
  • Stefania Galizia
    • 1
  • Alessio Gugliotta
    • 1
  • Vlad Tanasescu
    • 1
  • Carlos Pedrinaci
    • 1
  • Barry Norton
    • 1
  1. 1.Knowledge Media InstituteThe Open UniversityMilton KeynesUK

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