HLA Multi Agent/Short-Lived Ontology Platform for Enterprise Interoperability

  • Gregory Zacharewicz
  • Olivier Labarthe
  • David Chen
  • Bruno Vallespir
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 338)


This paper aims at proposing an specification of the Federation oriented Enterprise Interoperability concept, using Multi Agent / HLA paradigm and the rising notion of Short-Lived Ontology. We give first, a review of Enterprise Interoperability. Then, we recall on Artificial Agent Concept and HLA Standard that appear to be adequate to support execution of the studied concept. Indeed, on the one hand Agent dialogue fits the concept of information exchange in a federated enterprise interoperability approach, on the other hand the HLA standard, initially designed for military M&S purpose, can be transposed for enterprise interoperability at the implementation level, reusing the years of experiences in distributed systems. From these postulates, we propose the first Agent/HLA Short-Lived Ontology framework for distributed enterprise interoperability solution in the federated enterprise approach.


Enterprise Interoperability Multi Agent Systems Distributed Simulation HLA Ontology 


  1. 1.
    INTEROP: INTEROP Home Page, INTEROP NoE (2005),
  2. 2.
    IEEE std 1516.22000: IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA) - Federate Interface Specification. IEEE, New York (2000)Google Scholar
  3. 3.
    Ferber, J.: Multi-agents Systems. In: An Introduction to Distributed Artificial Intelligence. Addison Wesley, London (1999)Google Scholar
  4. 4.
    Jennings, N.R., Sycara, K., Wooldridge, M.: A Roadmap of Agent Research and Development. Autonomous Agents and Multi-agents Systems 1(1), 7–38 (1998)CrossRefGoogle Scholar
  5. 5.
    Nwana, H.S.: Software agents: An overview. Knowledge Engineering Review 11(3), 205–244 (1996)CrossRefGoogle Scholar
  6. 6.
    Huang, C.Y., Nof, S.Y.: Autonomy and viability measures for Agent-based manufacturing systems. International Journal of Production Research 38(17), 4129–4148 (2000)CrossRefGoogle Scholar
  7. 7.
    Zacharewicz, G., Frydman, C., Giambiasi, N.: G-DEVS/HLA Environment for Distributed Simulations of Workflows. Simulation 84(5), 197–213 (2008)CrossRefGoogle Scholar
  8. 8.
    Marietto, M.B., David, N., Sichman, J.S., Coelho, H.: Requirements Analysis and Agent-Based Simulation Platforms: State of the Art and New Prospects. In: Sichman, J.S., Bousquet, F., Davidsson, P. (eds.) MABS 2002. LNCS (LNAI), vol. 2581, pp. 125–141. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  9. 9.
    Zacharewicz, G., Chen, D., Vallespir, B.: Short-Lived Ontology Approach for Agent/HLA Federated Enterprise Interoperability. In: IEEE Proc. of International Conference I-ESA Interoperability for Enterprise Software and Applications, Beijing (2009)Google Scholar
  10. 10.
    Labarthe, O., Espinasse, B., Ferrarini, A., Montreuil, B.: Toward a Methodological Framework for Agent-Based Modelling and Simulation of Supply Chains in a Mass Customization Context. Simulation Modelling Practice and Theory 15(2), 113–136 (2007)CrossRefGoogle Scholar
  11. 11.
    Chappell, D.A.: Enterprise Service Bus. O’Reilly, Sebastopol (2004)Google Scholar
  12. 12.
    Finin, T., Fritzson, R., McKay, D., McEntire, R.: KQML as an agent communication language. In: Proc. of the Third International Conference on Information and Knowledge Management, Gaithersburg, Maryland, USA (1994)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2010

Authors and Affiliations

  • Gregory Zacharewicz
    • 1
  • Olivier Labarthe
    • 2
  • David Chen
    • 1
  • Bruno Vallespir
    • 1
  1. 1.LAPS / GRAIUniversité de Bordeaux – CNRSTALENCE CedexFrance
  2. 2.CIRRELTUniversité LavalQuébec CityCanada

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