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A learning server for inducing user classification rules in a digital library service

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Foundations of Intelligent Systems (ISMIS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1609))

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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 learning component, named Learning Server, that has been exploited in IDL for document analysis, classification, and understanding, as well as for building a user modeling module. This module is the basic component for providing IDL with a weak form of user interface adaptivity. Indeed, IDL is equipped with a web-based visual environment, which is primarily intended to improve the interaction of inexperienced users with the library.

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Authors and Affiliations

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

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

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

Zbigniew W. Raś Andrzej Skowron

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© 1999 Springer-Verlag Berlin Heidelberg

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Semeraro, G., Costabile, M.F., Esposito, F., Fanizzi, N., Ferilli, S. (1999). A learning server for inducing user classification rules in a digital library service. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1999. Lecture Notes in Computer Science, vol 1609. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095106

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  • DOI: https://doi.org/10.1007/BFb0095106

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65965-5

  • Online ISBN: 978-3-540-48828-6

  • eBook Packages: Springer Book Archive

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