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Ontology-Based User Modeling for Knowledge Management Systems

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User Modeling 2003 (UM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2702))

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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.

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References

  1. Leidner, D., Alavi, M., Review: knowledge management and knowledge management systems: conceptual foundations and research, INSEAD-MIS Quarterly, vol. 25 (no. 1), pp. 107–136, 2001.

    Article  Google Scholar 

  2. IMS LIP, IMS Learner Information Package http://www.imsproject.org/aboutims.html, 2001

    Google Scholar 

  3. Angehrn, A., Nabeth, T., Leveraging Emerging Technologies in Management-Education: Research and Experiences, European Management Journal, Elsevier, 15, pp. 275–285, 1997.

    Article  Google Scholar 

  4. Razmerita, L., Angehrn A., Nabeth, T., On the role of user models and user modeling in Knowledge Management Systems, in Proceedings of HCI International, Greece, to appear 2003.

    Google Scholar 

  5. Kay, J., Ontologies for reusable and scrutable student model, position paper, In Proceedings of AIED99 Workshop on Ontologies for Intelligent Educational Systems, 1999.

    Google Scholar 

  6. Chen, W. and Mizoguchi, R., Communication Content Ontology for Learner Model Agent in Multi-Agent Architecture, Proceedings of AIED99 Workshop on Ontologies for Intelligent Educational Systems, 1999.

    Google Scholar 

  7. Kobsa, A., Generic User Modeling Systems, in User Modeling and User-Adapted Interaction, 11(1–2), pp 49–63, 2001.

    Article  MATH  Google Scholar 

  8. Maedche, A., Motik, B., Stojanovic, L., Studer, R. and Volz, R., Ontologies for Enterprise Knowledge Management, IEEE Intelligent Systems, November/December, 2002.

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Razmerita, L., Angehrn, A., Maedche, A. (2003). Ontology-Based User Modeling for Knowledge Management Systems. In: Brusilovsky, P., Corbett, A., de Rosis, F. (eds) User Modeling 2003. UM 2003. Lecture Notes in Computer Science(), vol 2702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44963-9_29

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  • DOI: https://doi.org/10.1007/3-540-44963-9_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40381-4

  • Online ISBN: 978-3-540-44963-8

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