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

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. Andreas Schmidt FZI Research Center for Information Technologies, Haid-und-Neu-Straße 10-14, 76131 Karlsruhe, GERMANY e-mail: [email protected] Knut Hinkelmann University of Applied Sciences Northwestern Switzerland, Riggenbachstrasse 16, 4600 Olten, SWITZERLAND e-mail: [email protected] Tobias Ley Know-Center, Inffeldgasse 21a, 8010 Graz, AUSTRIA e-mail: [email protected] Stefanie Lindstaedt Know-Center, Inffeldgasse 21a, 8010 Graz, AUSTRIA e-mail: [email protected] Ronald Maier University of Innsbruck, Universitätsstrasse 15, 6020 Innsbruck, AUSTRIA e-mail: [email protected] Uwe Riss SAP AG, CEC Karlsruhe, Vincenz-Priessnitz-Strasse 1, 76131 Karlsruhe, GERMANY e-mail: [email protected]