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Ontology-Based User Modeling for Knowledge Management Systems

  • Liana Razmerita
  • Albert Angehrn
  • Alexander Maedche
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2702)

Abstract

This paper is presenting a generic ontology-based user modeling architecture, (OntobUM), applied in the context of a Knowledge Management System (KMS). Due to their powerful knowledge representation formalism and associated inference mechanisms, ontology-based systems are emerging as a natural choice for the next generation of KMSs operating in organizational, interorganizational as well as community contexts. User models, often addressed as user profiles, have been included in KMSs mainly as simple ways of capturing the user preferences and/or competencies. We extend this view by including other characteristics of the users relevant in the KM context and we explain the reason for doing this. The proposed user modeling system relies on a user ontology, using Semantic Web technologies, based on the IMS LIP specifications, and it is integrated in an ontology-based KMS called Ontologging. We are presenting a generic framework for implicit and explicit ontology-based user modeling.

Keywords

User Modeling Knowledge Management System Knowledge Asset Generic User Modeling User Ontology 
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 2003

Authors and Affiliations

  • Liana Razmerita
    • 1
  • Albert Angehrn
    • 1
  • Alexander Maedche
    • 2
  1. 1.CALT-Centre of Advanced Learning TechnologiesINSEADFontainebleauFrance
  2. 2.FZI Research Center for Information TechnologiesKarlsruheGermany

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