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Interacting with IDL: The Adaptive Visual Interface

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Research and Advanced Technology for Digital Libraries (ECDL 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1513))

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Abstract

IDL (Intelligent Digital Library) is a prototypical intelligent digital library service that is currently being developed at the University of Bari. Among the characterizing features of IDL there are a retrieval engine and several facilities available for the library users. In this paper, we present the web-based visual environment we have developed with the aim of improving the user-library interaction. The IDL environment is equipped with some novel visual tools, that are primarily intended for inexperienced users, who represent most of the users that usually access digital libraries. Machine Learning techniques have been exploited in IDL for document analysis, classification, and understanding, as well as for building a user modeling module, that is the basic component for providing IDL with user interface adaptivity. This feature is also discussed in the paper.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università di Bari, Via Orabona 4, 70125, Bari, Italy

    M. F. Costabile, F. Esposito, G. Semeraro, N. Fanizzi & S. Ferilli

Authors
  1. M. F. Costabile
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  2. F. Esposito
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  3. G. Semeraro
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  4. N. Fanizzi
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  5. S. Ferilli
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Editor information

Editors and Affiliations

  1. Foundation for Research and Technology - Hellas (FORTH) Science and Technology Park of Crete, Institute of Computer Science (ICS), GR-71110, Heraklion, Crete, Greece

    Christos Nikolaou  & Constantine Stephanidis  & 

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© 1998 Springer-Verlag Berlin Heidelberg

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Costabile, M.F., Esposito, F., Semeraro, G., Fanizzi, N., Ferilli, S. (1998). Interacting with IDL: The Adaptive Visual Interface. In: Nikolaou, C., Stephanidis, C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 1998. Lecture Notes in Computer Science, vol 1513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49653-X_31

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  • DOI: https://doi.org/10.1007/3-540-49653-X_31

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  • Print ISBN: 978-3-540-65101-7

  • Online ISBN: 978-3-540-49653-3

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