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VPRSM Approach to WEB Searching

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Rough Sets and Current Trends in Computing (RSCTC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2475))

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Abstract

An information retrieval methodology based on variable precision rough set model (VPRSM) is proposed. In the methodology, both queries and documents are represented as rough sets. The documents are relevance-ranked using rough set theory algebraic operators. The results of preliminary tests with the system WebRank for retrieving Web pages are also reported.

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References

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Author information

Authors and Affiliations

  1. Computer Science Department, University of Regina, Regina, SK, S4S 0A2, Canada

    Wojciech Ziarko & Xue Fei

Authors
  1. Wojciech Ziarko
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  2. Xue Fei
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Editor information

Editors and Affiliations

  1. Penn State Great Valley School of Professional Graduate Studies, 30 East Swedesford Road, Malvern, PA, 19355, USA

    James J. Alpigini

  2. Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, R3T 5V6, Canada

    James F. Peters

  3. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

  4. Department of Systems and Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

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© 2002 Springer-Verlag Berlin Heidelberg

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Ziarko, W., Fei, X. (2002). VPRSM Approach to WEB Searching. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science(), vol 2475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45813-1_68

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  • DOI: https://doi.org/10.1007/3-540-45813-1_68

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44274-5

  • Online ISBN: 978-3-540-45813-5

  • eBook Packages: Springer Book Archive

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