Conceptual Foundations for a Service-oriented Knowledge and Learning Architecture: Supporting Content, Process and Ontology Maturing

  • Andreas Schmidt
  • Knut Hinkelmann
  • Tobias Ley
  • Stefanie Lindstaedt
  • Ronald Maier
  • Uwe Riss
Part of the Studies in Computational Intelligence book series (SCI, volume 221)


Effective learning support in organizations requires a flexible and personalized toolset that brings together the individual and the organizational perspective on learning. Such toolsets need a service-oriented infrastructure of reusable knowledge and learning services as an enabler. This contribution focuses on conceptual foundations for such an infrastructure as it is being developed within the MATURE IP and builds on the knowledge maturing process model on the one hand, and the seeding-evolutionary growth-reseeding model on the other hand. These theories are used to derive maturing services, for which initial examples are presented.


Knowledge Management Conceptual Foundation Evolutionary Growth Knowledge Asset Knowledge Service 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Andreas Schmidt
    • 1
  • Knut Hinkelmann
    • 2
  • Tobias Ley
    • 3
  • Stefanie Lindstaedt
    • 3
  • Ronald Maier
    • 4
  • Uwe Riss
    • 5
  1. 1.FZI Research Center for Information TechnologiesKarlsruheGermany
  2. 2.University of Applied Sciences Northwestern SwitzerlandOltenSwitzerland
  3. 3.Know-CenterGrazAustria
  4. 4.University of InnsbruckInnsbruckAustria
  5. 5.SAP AG, CEC KarlsruheKarlsruheGermany

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