A Model Driven Approach to Agent-Based Service-Oriented Architectures

  • Ingo Zinnikus
  • Gorka Benguria
  • Brian Elvesæter
  • Klaus Fischer
  • Julien Vayssière
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4196)


Business process management has been identified as an interesting application area for agent technologies. Current developments in Web technologies support the execution of business processes in a networked environment. In this context, the flexible composition and usage of services in a service-oriented environment is a key feature. Additionally, the model-driven architecture (MDA) idea of transforming models on different abstraction levels, from highly abstract design-oriented views to an executable program, is a current trend in business process modeling. BDI agents provide a framework for both aspects by employing a planning from second principles approach, which uses a predefined library of plans and instantiates and adapts these plans. From this perspective, plans are design-time models for agent task execution and for Web Service composition. This paper presents a Rapid Prototyping framework for SOAs built around a Model-Driven Development methodology which we use for transforming high-level specifications of an SOA into executable artefacts, both for Web Services (WSDL files) and for BDI agents. The framework was designed to handle a mix of new and existing services and provides facilities for simulating, logging, analysing and debugging. Our framework was validated on a real industrial electronic procurement scenario in the furniture manufacturing industry. Once input from business experts had been collected, creating the high-level PIM4SOA (Platform Independent Model for SOA) model, deriving the Web service description and incorporating existing Web services took less than a day for a person already familiar with the techniques and tools involved. We show that rapid prototyping of SOAs is possible without sacrificing the alignment of the prototype with high-level architectural constraints.


Service Composition Business Process Management Model Drive Architecture Model Drive Architecture Soap Message 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Andrews, T., Curbera, F., Dholakia, H., Goland, Y., Klein, J., Leymann, F., Liu, K., Roller, D., Smith, D., Thatte, S., Trickovic, I., Weerawarana, S.: Business Process Execution Language for Web Services Version 1.1. Technical report (May 2003)Google Scholar
  2. 2.
    Box, D.: A guide to developing and running connected systems with indigo. MSDN Magazine (January 2004)Google Scholar
  3. 3.
    Booth, D., Haas, H., McCabe, F., Newcomer, E., Champion, M., Ferris, C., Orchard, D.: Web Services Architecture. Technical report, W3C Working Group (February 2004)Google Scholar
  4. 4.
    The Agent Oriented Software Group: JACK Development Environment (2004),
  5. 5.
    Soley, R.: Model Driven Architecture. OMG (November 2000)Google Scholar
  6. 6.
    Wang, Y., Stroulia, E.: Flexible Interface Matching for Web-Service Discovery. In: 4th Int’l Conf. on Web Information Systems Engineering (WISE 2003) (2003)Google Scholar
  7. 7.
    Wang, Y., Stroulia, E.: Semantic Structure Matching for Assessing Web-Service Similarity. In: Orlowska, M.E., Weerawarana, S., Papazoglou, M.P., Yang, J. (eds.) ICSOC 2003. LNCS, vol. 2910, pp. 194–207. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  8. 8.
    Shasha, D., Zhang, K.: Approximate Tree Pattern Matching. In: Pattern Matching Algorithms, pp. 341–371. Oxford University Press, Oxford (1997)Google Scholar
  9. 9.
    Nagano, S., Hasegawa, T., Ohsuga, A., Honiden, S.: Dynamic Invocation Model of Web Services Using Subsumption Relations. In: IEEE International Conference on Web Services (ICWS), pp. 150–156 (2004)Google Scholar
  10. 10.
    Rao, A.S., Georgeff, M.P.: Modeling Rational Agents within a BDI-Architecture. In: Allen, J., Fikes, R., Sandewall, E. (eds.) Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR 1991), pp. 473–484. Morgan Kaufmann publishers Inc., San Mateo, CA, USA (1991)Google Scholar
  11. 11.
  12. 12.
    Yang, J., Heuvel, W., Papazoglou, M.: Tackling the Challenges of Service Composition in e-Marketplaces. In: Proceedings of the 12th International Workshop on Research Issues on Data Engineering: Engineering E-Commerce/E-Business Systems (RIDE-2EC 2002), San Jose, CA, USA (2002)Google Scholar
  13. 13.
    Sirin, E., Parsia, B., Wu, D., Hendler, J.A., Nau, D.S.: HTN planning for Web Service composition using SHOP2. J. Web Sem. 1, 377–396 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ingo Zinnikus
    • 1
  • Gorka Benguria
    • 2
  • Brian Elvesæter
    • 3
  • Klaus Fischer
    • 1
  • Julien Vayssière
    • 4
  1. 1.DFKI GmbH, Stuhlsatzenhausweg 3 (Bau 43)SaarbrueckenGermany
  2. 2.European Software Institute (ESI) – Corporacion Tecnologica TecnaliaZamudio BizkaiaSpain
  3. 3.SINTEF ICTBlindern, OsloNorway
  4. 4.SAP Research – Level 12BrisbaneAustralia

Personalised recommendations