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Ontologies for Enterprise Knowledge Management
March/April 2003 (vol. 18 no. 2)
pp. 26-33
Alexander Maedche, Research Center for Information Technology, University of Karlsruhe
Boris Motik, Research Center for Information Technology, University of Karlsruhe
Ljiljana Stojanovic, Research Center for Information Technology, University of Karlsruhe
Rudi Studer, Research Center for Information Technology, University of Karlsruhe
Raphael Volz, Research Center for Information Technology, University of Karlsruhe

Ontologies are a key technology for enabling semantics-driven knowledge processing, and it is widely accepted that the next generation of knowledge management system will rely on conceptual models in the form of ontologies. Unfortunately, the development of real-world enterprise-wide ontology-based knowledge management systems is still in an early stage. The authors present an integrated enterprise knowledge management architecture developed within the Ontologging project dealing with several challenges related to applying ontologies in real-world environments. They focus on two important ontology management problems--namely, supporting multiple ontologies and managing ontology evolution.

Index Terms:
knowledge management, ontology mapping, ontology evolution, Semantic Web
Citation:
Alexander Maedche, Boris Motik, Ljiljana Stojanovic, Rudi Studer, Raphael Volz, "Ontologies for Enterprise Knowledge Management," IEEE Intelligent Systems, vol. 18, no. 2, pp. 26-33, March-April 2003, doi:10.1109/MIS.2003.1193654
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