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Towards Evaluating the Impact of Ontologies on the Quality of a Digital Library Alerting System

  • Alfons Huhn
  • Peter Höfner
  • Werner Kießling
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3652)

Abstract

Advanced personalization techniques are required to cope with novel challenges posed by attribute-rich digital libraries. At the heart of our deeply personalized alerting system is one extensible preference model that serves all purposes in conjunction with our search technology Preference XPath and XML-based semantic annotations of digital library objects. In this paper we focus on the impact of automatic query expansion by ontologies. First results indicate that use of ontologies improves the quality of the result set and generates further results of higher quality.

References

  1. 1.
    Huhn, A., Höfner, P., Kießling, W.: Towards Evaluating the Impact of Ontologies on the Quality of a Digital Library Alerting System. Technical Report 2005-07, Institute of Computer Science, University of AugsburgGoogle Scholar
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    Khan, L., McLeod, D., Hovy, E.: Retrieval effectiveness of an ontology-based model for information selection. In: The VDLB Journal, vol. 13(1), pp. 71–85. Springer, New York (2004)Google Scholar
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    Kießling, W.: Foundations of Preferences in Database Systems. In: Proc. Int. Conf. on Very Large Databases (VLDB 2002), Hong Kong, China, pp. 311–322 (2002)Google Scholar
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    Wang, Q., Balke, W.-T., Kießling, W., Huhn, A.: P-News: Deeply Personalized News Dissemination for MPEG-7 based Digital Libraries. In: Heery, R., Lyon, L. (eds.) ECDL 2004. LNCS, vol. 3232, pp. 256–268. Springer, Heidelberg (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Alfons Huhn
    • 1
  • Peter Höfner
    • 1
  • Werner Kießling
    • 1
  1. 1.Institut für InformatikUniversität AugsburgAugsburgGermany

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