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Text-Source Discovery and GlOSS Update in a Dynamic Web

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Knowledge Discovery and Data Mining. Current Issues and New Applications (PAKDD 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1805))

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Abstract

“Text-source discovery” is the problem of identifying relevant document databases that potentially contain documents that match a user query. GlOSS [6] is a cost-effective technique for solving the text-source discovery problem. However, the GlOSS approach assumes that the document databases are fully cooperative in exporting statistical information about their collections. This paper discusses how the GlOSS technique can be applied to a dynamic and uncooperative Web environment in assisting users to locate relevant Web information sources. keywords: text-source discovery, GlOSS, search engines

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References

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  7. Anthony Tomasic Luis Gravano, Héctor García-Molina. Generalizing GlOSS to vector-space databases and broker hierarchies. In Proceedings of the 1995 VLDB Conference, May 1995.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Systems, The University of Hong Kong, Pokfulam, Hong Kong

    Chi-Yuen Ng, Ben Kao & David Cheung

Authors
  1. Chi-Yuen Ng
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  2. Ben Kao
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  3. David Cheung
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Editor information

Editors and Affiliations

  1. Graduate School of Systems Management, Universiy of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, 112-0012, Japan

    Takao Terano

  2. Department of Computer Science and Engineering, Arizona State University, P.O. Box 875 406, Tempe, AZ, 85287-5406

    Huan Liu

  3. Department of Computer Science, National Tsing Hua University, Hsinchu, 300, Taiwan ROC

    Arbee L. P. Chen

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© 2000 Springer-Verlag Berlin Heidelberg

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Ng, CY., Kao, B., Cheung, D. (2000). Text-Source Discovery and GlOSS Update in a Dynamic Web. In: Terano, T., Liu, H., Chen, A.L.P. (eds) Knowledge Discovery and Data Mining. Current Issues and New Applications. PAKDD 2000. Lecture Notes in Computer Science(), vol 1805. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45571-X_50

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  • DOI: https://doi.org/10.1007/3-540-45571-X_50

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67382-8

  • Online ISBN: 978-3-540-45571-4

  • eBook Packages: Springer Book Archive

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