Synchronization Contexts as a Means to Support Collaborative Modeling

  • Niels Pinkwart
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3706)


This paper presents an approach to support collaborative modeling with graph based representations. In particular, the problem of partially shared models with associated semantics is addressed, and an architectural solution to enable flexible modes of partial application synchronization under the constraint of retaining a common semantics in the shared model parts is presented.


Modeling Language Node Type Semantic Mapping Collaborative Modeling Graph Semantic 
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.
    Booch, G., Jacobson, I., Rumbaugh, J.: The Unified Modeling Language User Guide. Addison Wesley Professional, Boston (1998)Google Scholar
  2. 2.
    Chen, P.P.-S.: The entity-relationship model - toward a unified view of data. ACM Transactions on Database Systems 1(1), 9–36 (1976)CrossRefGoogle Scholar
  3. 3.
    Forrester, J.W.: Principles of Systems. Pegasus Communications, Waltham (1968)Google Scholar
  4. 4.
    Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns. Elements of reusable Object-Oriented Software. Addison-Wesley Professional, Boston (1995)Google Scholar
  5. 5.
    Harel, D., Rumpe, B.: Meaningful modeling: What’s the semantics of “semantics”? Computer 37(10), 64–72 (2004)CrossRefGoogle Scholar
  6. 6.
    Jonassen, D.H.: Computers as Mindtools for Schools. Prentice Hall, Upper Saddle River (2000)Google Scholar
  7. 7.
    Kuhn, M., Hoppe, H.U., Lingnau, A., Fendrich, M.: Evaluation of exploratory approaches in learning probability based on computational modelling and simulation. In: Proceedings of the IADIS conference of Cognition and Exploratory Learning in Digital Age (CELDA), Lisbon, Portugal, pp. 83–90. IADIS Press (2004)Google Scholar
  8. 8.
    Löhner, S., van Joolingen, W.R., Savelsbergh, E.R.: The effect of external representation on constructing computer models of complex phenomena. Instructional Science 31, 395–418 (2003)CrossRefGoogle Scholar
  9. 9.
    Novak, J.D., Gowin, D.B.: Learning How to Learn. Cambridge University Press, Cambridge (1984)Google Scholar
  10. 10.
    Petri, C.A.: Kommunikation mit Automaten (communication with automata). Schriften des Rheinisch-Westfälischen Instituts für Instrumentelle Mathematik, Bonn, Germany (1962)Google Scholar
  11. 11.
    Pinkwart, N.: A plug-in architecture for graph based collaborative modeling systems. In: Proceedings of the 11th International Conference on Artificial Intelligence in Education (AI-ED), Amsterdam, The Netherlands, pp. 535–536. IOS Press, Amsterdam (2003)Google Scholar
  12. 12.
    Suthers, D.D., Hundhausen, C.D.: An experimental study of the effects of representational guidance on collaborative learning processes. Journal of the Learning Sciences 12(2), 183–219 (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Niels Pinkwart
    • 1
  1. 1.Faculty of EngineeringUniversity of Duisburg-EssenDuisburgGermany

Personalised recommendations