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Optimizing knowledge discovery over the WWW

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Advances in Databases and Information Systems (ADBIS 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1475))

Abstract

The rapid growth in data volume, user base, and data diversity render Internet-accessible information increasingly difficult to be used effectively. In this paper we discuss the issues involved with knowledge discovery in knowledge bases, in particular the WWW, by presenting a general architecture and describing how it has been instantiated in a functional system we developed. The system attempts to concurrently maximize and optimize the resource/knowledge discovery, and custimize the information to individual users. A number of machine learning techniques have been employed in the development of the system for comparative reasons — results are presented and discussed.

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Authors and Affiliations

  1. Computer Science Department, Cardiff University, Wales

    Matthew Montebello

Authors
  1. Matthew Montebello
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Witold Litwin Tadeusz Morzy Gottfried Vossen

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© 1998 Springer-Verlag Berlin Heidelberg

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Montebello, M. (1998). Optimizing knowledge discovery over the WWW. In: Litwin, W., Morzy, T., Vossen, G. (eds) Advances in Databases and Information Systems. ADBIS 1998. Lecture Notes in Computer Science, vol 1475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0057739

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  • DOI: https://doi.org/10.1007/BFb0057739

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64924-3

  • Online ISBN: 978-3-540-68309-4

  • eBook Packages: Springer Book Archive

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