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Knowledge Navigation in Networked Digital Libraries

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Knowledge Acquisition, Modeling and Management (EKAW 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1621))

Abstract

ormulating precise and effective queries in document retrieval systems requires the users to predict which terms appear in documents relevant to their information needs. It is important that users do not retrieve a plethora of irrelevant documents due to underspecified queries or queries containing ambiguous search terms. Due to these reasons, networked digital libraries with rapid growth in their volume of documents, document diversity, and terminological variations are becoming increasingly difficult to manage.

In this paper we consider the concept of knowledge navigation for federated digital libraries and explain how it can provide the kind of intermediary expert prompting required to enable purposeful searching and effective discovery of documents.

This research has been partially funded by the European Union under the Telematics project Decomate lib-5672/b.

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Author information

Authors and Affiliations

  1. Tilburg University/Infolab, PO Box 90153, NL-5000, LE Tilburg, The Netherlands

    Mike P. Papazoglou & Jeroen Hoppenbrouwers

Authors
  1. Mike P. Papazoglou
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  2. Jeroen Hoppenbrouwers
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Editor information

Editors and Affiliations

  1. AIFB Institute for Applied Computer Science and Formal Description Methods, University of Karlsruhe, D-76128, Karlsruhe, Germany

    Dieter Fensel  & Rudi Studer  & 

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© 1999 Springer-Verlag

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Papazoglou, M.P., Hoppenbrouwers, J. (1999). Knowledge Navigation in Networked Digital Libraries. In: Fensel, D., Studer, R. (eds) Knowledge Acquisition, Modeling and Management. EKAW 1999. Lecture Notes in Computer Science(), vol 1621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48775-1_2

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  • DOI: https://doi.org/10.1007/3-540-48775-1_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66044-6

  • Online ISBN: 978-3-540-48775-3

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