A generic E-learning Engineering Framework Embracing the Semantic Web

  • Johannes Lischka
  • Dimitris Karagiannis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3192)


E-Learning has become a serious discipline in IT supported management with the aim of enabling life-long learning. Unfortunately, E-Learning is a bottom-up based technical approach and the vision of life-long learning is not yet reached, because it demands the existence of resource pools as a basis enabling cross referencing of topics, skills and all other resources within an organizational memory. Fortunately, new technologies coming from the Semantic Web and Web-Services communities will be able to overcome some of the hindering technical obstacles providing interoperability between different platforms and programming paradigms so that resources can be personalized and presented on arbitrary clients. This paper embraces these technologies and presents a generic E-Learning Engineering approach that fits them into a top-down IT-supported management framework so that business goals may be transformed into a technical environment. Furthermore, this approach also sets grounds for closing the gap to E-Business (e.g. Performance Management like the Balanced Scorecard).


Learn Object Resource Description Framework Learn Resource Balance Scorecard Uniform Resource Identifier 
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.


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  1. 1.
    Donovan, J.J.: Business Re-Engineering with Information Technology. Prentice Hall, Englewood Cliffs (1994)Google Scholar
  2. 2.
    Giaglis, G. M.: Integrated Design and Evaluation of Business Processes and Information Systems. Communications of AIS 2, Article 5, 1999 Google Scholar
  3. 3.
    Affeld, D.: Mit Best Practice im Supply Chain Management (SCM) zur Optimierung der Wertschöpfungskette. In: Voegele, A.R., Zeuch, M.P. (eds.) Supply Network Management, Gabler Verlag (2002)Google Scholar
  4. 4.
    Engineering E-Learning: Engineering E-Learning (access November 14, 2003),
  5. 5.
    Universität Oldenburg: E-Learning Engineering (access November 14, 2003),
  6. 6.
    W3C: Extensible Markup Language (XML) (access December 20, 2003),
  7. 7.
    W3C: Resource Description Framework (RDF) (access December 20, 2003),
  8. 8.
    W3C: Web-Ontology (WebOnt) Working Group (access December 20, 2003),
  9. 9.
    Nilsson, M., Palmer, M., Brase, J.: The LOM RDF binding - principles and implementation (access December 20, 2003),
  10. 10.
    IEEE: IEEE LTSC | WG12 | PAR 1484.12.4 (access December 20, 2003),
  11. 11.
    DCMI: Expressing Simple Dublin Core in RDF/XML (access December 20, 2003),
  12. 12.
    Brase, J., Nejdl, W.: Ontologies and Metadata for eLearning. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, Springer, Heidelberg (2003)Google Scholar
  13. 13.
    KMR: RDF binding of LOM metadata (access December 20, 2003),
  14. 14.
    W3C: Representing vCard Objects in RDF/XML (access December 20, 2003),
  15. 15.
    IEEE: WG20: Reusable Competency Definitions (access December 20, 2003),
  16. 16.
    IMS: IMS Resource Description Framework(RDF) Bindings (access July 28, 2003),
  17. 17.
    IMS: IMS Content Packaging Specification (access July 28, 2003),
  18. 18.
    Zschocke, D.: Modellbildung in der Ökonomie, Verlag Franz Vahlen, München (1995)Google Scholar
  19. 19.
    Seufert, S., Andreas, B.: Häusler, M.: E-Learning: Weiterbildung im Internet - Das Plato-Cookbook für internetbasiertes Lernen, SmartBooks Publishing (2001)Google Scholar
  20. 20.
    Rosenberg, Marc, J.: E-Learning: Strategies for delivering Knowledge in the Digital Age. McGraw-Hill, New York (2001)Google Scholar
  21. 21.
    Hall, B.: Six Steps to Developing a Successful E-Learning Initiative: Excerpts from the E-Learning Guidebook. McGraw-Hill, New York (2002)Google Scholar
  22. 22.
    Lischka, H., Bajnai, J., Karagiannis, D., Chalaris, G.: The Virtual Global University - The Realization of a fully Virtual University - Concept and Experiences. In: Auer, M.E., Auer, U. (eds.) Proceedings of the workshop ICL (2002)Google Scholar
  23. 23.
    Klein, M., Stucky, W.: Ein Vorgehensmodell zur Erstellung virtueller Bildungsinhalte, vieweg, Wiesbaden (2001)Google Scholar
  24. 24.
    Karagiannis, D., Stefanidis, G., Woitsch, R.: The PROMOTE approach - Modelling Knowledge Management Processes to describe organisational knowledge systems. In: proceedings of OKLC 2002 Athens (2002)Google Scholar
  25. 25.
    Turner, M., Budgen, D., Brereton, P.: Turning Software into a Service. In:, October 2003, IEEE Computer Society, Los Alamitos (2003)Google Scholar
  26. 26.
    BOC: ADVISOR (access December 20, 2003),
  27. 27.
    Lischka, J., Karagiannis, D.: Modeling and Execution of E-Learning Resources. In: Conference Proceedings of the ACM SAC 2004 (2004)Google Scholar
  28. 28.
    Bajnai, J., Lischka, J.: Planning and Simulation in an E-Learning Engineering Framework. In: Proceedings of the AACE EDMEDIA 2004 (2004)Google Scholar
  29. 29.
  30. 30.
    Lischka, J., et al.: Roadmap for Reaching Semantic E-Learning – Test Cases; to appear in Proceedings of ICL 2004 (2004)Google Scholar
  31. 31.
    Kraemer, W., Zimmermann, V.: Learning Life Cycle Management - Integration von Lernen in die Geschäftsprozesse (access June 20, 2004),
  32. 32.
    IMS: IMS Learning Design Information Model (access June 20, 2004),

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Johannes Lischka
    • 1
  • Dimitris Karagiannis
    • 1
  1. 1.Inst. for Computer Science and Business Informatics, Dept. of Knowledge EngineeringUniversity of ViennaViennaAustria

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