Collaborative Mediation Information System Design Based on Model-Driven Business Process Management Approach

  • Wenxin Mu
  • Nicolas Boissel-Dallier
  • Frédérick Bénaben
  • Hervé Pingaud
  • Jean-Pierre Lorré
Conference paper
Part of the Proceedings of the I-ESA Conferences book series (IESACONF, volume 7)


Driving a BPM (Business Process Management) approach could be dedicated to support the design of IS (Information System). In a collaborative situation, involving several partners, such a BPM approach may be useful to support the design of a Mediation Information System (MIS), in charge of ensuring interoperability between partners’ IS (presumed to be service-oriented). For such an objective, there are two main barriers, which are: (i) building the collaborative business process cartography by characterizing the collaborative situation and creating collaborative ontology, and (ii) reducing semantic gap between business activities (from the business process models) and technical web-services (from the physical SOA architecture of ISs). This articles aims at presenting the engineering steps of the whole BPM approach to break the two scientific problems by using a simple example.


Business process management Model-driven engineering Information systems Interoperability Mediation Semantics Service-oriented architecture 


  1. 1.
    Konstantas, D., Bourrières, J.-P., Léonard, M., & Boudjlida, N. (2005). Interoperability of enterprise software and applications. Switzerland: Springer-Verlag.Google Scholar
  2. 2.
    Pingaud, H. (2009). Prospective de recherches en interopérabilité: vers un art de la médiation. In Proceedings of the Plenary Lecture, 8th International Congress on Industrial Engineering (CIGI), Tarbes. Google Scholar
  3. 3.
    Ko, R. K. L. (2009). A computer scientist’s introductory guide to business process management (BPM). Crossroads, 15(4), 4:11–4:18.Google Scholar
  4. 4.
    Van Der Aalst, W. M. P., & Ter Hofstede, A. H. M. (2000). Verification of workflow task structures: A petri-net-baset approach. Information Systems, 25(1), 43–69.MATHCrossRefGoogle Scholar
  5. 5.
    Ter Hofstede, A., Van Der Aalst, W., & Weske, M. (2003). Business process management: A survey. In M. Weske (Ed.), Business process management (vol. 2678, pp. 1019–1019). Heidelberg: Springer Berlin.Google Scholar
  6. 6.
    Van der Aalst, W., & Van Hee, K. M. (2004). Workflow management: Models, methods, and systems. Cambridge: The MIT press.Google Scholar
  7. 7.
    (Tom) Stahl, T., & Völter, M. (2006) Model-driven software development. New York: John Wiley & Sons.Google Scholar
  8. 8.
    Patig, S., Casanova-Brito, V., & Vögeli, B. (2010). IT requirements of business process management in practice—An empirical study. In R. Hull, J. Mendling, & S. Tai (Eds.), Business process management (Vol. 6336, pp. 13–28). Berlin/Heidelberg: Springer.CrossRefGoogle Scholar
  9. 9.
    Facca, F., Komazec, S., & Toma, I. (2009). WSMX 1.0: A further step toward a complete semantic execution environment. In Proceedings of the Semantic Web: Research and Applications (pp. 826–830).Google Scholar
  10. 10.
    Hepp, M., Leymann, F., Domingue, J., Wahler, A., & Fensel, D. (2005). Semantic business process management: A vision towards using semantic web services for business process management. In proceedings of the IEEE International Conference on e-Business Engineering, 2005 (ICEBE 2005) (pp. 535–540).Google Scholar
  11. 11.
    Lécué, F., Gorronogoitia, Y., Gonzalez, R., Radzimski, M., & Villa, M. (2010). SOA4All: An innovative integrated approach to services composition. In Proceedings of the Web Services (ICWS), 2010 IEEE International Conference on 2010 (pp. 58–67).Google Scholar
  12. 12.
    Ishikawa, F., Katafuchi, S., Wagner, F., Fukazawa, Y., & Honiden, S. (2011). Bridging the gap between semantic web service composition and common implementation architectures. In Proceedings of the Services Computing (SCC), 2011 IEEE International Conference on 2011 (pp. 152–159).Google Scholar
  13. 13.
    Guermouche, N., Perrin, O., & Ringeissen, C. (2008). A Mediator Based Approach For Services Composition. In Proceedings of the Sixth International Conference on Software Engineering Research, Management and Applications, 2008 (SERA 2008) (pp. 273–280).Google Scholar
  14. 14.
    Giunchiglia, F., Yatskevich, M., & Shvaiko, P. (2007). Semantic matching: Algorithms and implementation. Journal on Data Semantics, 9, 1–38.Google Scholar
  15. 15.
    Rajsiri, V., Lorré, J.-P., Bénaben, F., & Pingaud, H. (2010). Knowledge-based system for collaborative process specification. Computers in Industry, 61(2), 161–175.CrossRefGoogle Scholar
  16. 16.
    ISO 9000. (2012). ISO 9000 quality management (September-2005. [Online]). Retreived January 19, 2012, from
  17. 17.
    Benaben, F., Boissel-Dailler, N., & Pingaud, H. (2012). Semantic issues in model-driven management of information system interoperability. International Journal of Computer Integrated Manufacturing. Google Scholar
  18. 18.
    Boissel-Dallier, N., Bénaben, F., & Pingaud, H. (2012). Model-driven engineering of mediation information system: Application to the ISTA3 use-case. In Proceedings of the Enterprise Interoperability: I-ESA'12, 21 Jan 2013. DOI:  10.1002/9781118561942.ch28. Retreived from Valencia, Spain.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Wenxin Mu
    • 1
  • Nicolas Boissel-Dallier
    • 2
  • Frédérick Bénaben
    • 3
  • Hervé Pingaud
    • 4
  • Jean-Pierre Lorré
    • 5
  1. 1.Beijing Jiaotong UniversityBeijingChina
  2. 2.InteropSysToulouseFrance
  3. 3.Université de ToulouseAlbiFrance
  4. 4.Compus d’AlbiUniversité ChampollionAlbiFrance
  5. 5.LinagoraToulouseFrance

Personalised recommendations