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Mining HTML Pages to Support Document Sharing in a Cooperative System

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XML-Based Data Management and Multimedia Engineering — EDBT 2002 Workshops (EDBT 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2490))

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Abstract

In this paper, the problem of classifying HTML documents is investigated in the context of a client-server application, named WebClass, developed to support the search activity of a geographically distributed group of people with common interests. The two main issues studied in the paper are the selection of some features to represent HTML documents and the construction of the classifiers. A new feature selection technique is presented and its interaction with different classifiers is experimentally studied. Results show that performance improves even with simple classifiers and the proposed feature selection technique compares favorably with respect to other well-known approaches.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Universitá degli Studi, via Orabona, 4, 70126, Bari, Italy

    Donato Malerba, Floriana Esposito & Michelangelo Ceci

Authors
  1. Donato Malerba
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  2. Floriana Esposito
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  3. Michelangelo Ceci
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Editor information

Editors and Affiliations

  1. IBM developer Works, 6 New Square, Bedfont Lakes, Feltham, Middlesex, TW14 8HA, UK

    Akmal B. Chaudhri

  2. Institute for Computer Science, University of Essen, Schützenbahn 70, 45117, Essen, Germany

    Rainer Unland

  3. IRIN, Nantes University, 2, rue de la Houssiniére, 44322, Nantes, France

    Chabane Djeraba

  4. Department of Computer Science DBIS Research Group, University of Rostock, 18051, Rostock, Germany

    Wolfgang Lindner

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© 2002 Springer-Verlag Berlin Heidelberg

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Malerba, D., Esposito, F., Ceci, M. (2002). Mining HTML Pages to Support Document Sharing in a Cooperative System. In: Chaudhri, A.B., Unland, R., Djeraba, C., Lindner, W. (eds) XML-Based Data Management and Multimedia Engineering — EDBT 2002 Workshops. EDBT 2002. Lecture Notes in Computer Science, vol 2490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36128-6_25

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  • DOI: https://doi.org/10.1007/3-540-36128-6_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00130-0

  • Online ISBN: 978-3-540-36128-2

  • eBook Packages: Springer Book Archive

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