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Personalized Web Knowledge Management

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Web Intelligence: Research and Development (WI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2198))

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Abstract

In this paper, we propose a novel approach for personalized Web Knowledge management by incorporating dynamic (e.g., news article) and static (e.g.,technical papers) Web contents. We can integrate these two types of information by using intelligent crawling and meta-data creation and provide a visual interface to personalize and navigate through the tailored information to an individual user.

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Author information

Authors and Affiliations

  1. Tokyo Research Laboratory, IBM Research, 1623-14 Shimotsuruma, Yamato, Kanagawa, 242-8502, Japan

    Koichi Takeda & Hiroshi Nomiyama

Authors
  1. Koichi Takeda
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  2. Hiroshi Nomiyama
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Editor information

Editors and Affiliations

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

    Ning Zhong

  2. Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, S4S 0A2

    Yiju Yao

  3. Department of Computer Science, Hong Kong Baptist University, 224 Waterloo Road, Kowloon, Hong Kong, China

    Jiming Liu

  4. Department of Information and Computer Science, Waseda University, 3-4-1 Okubo Shinjuku-Ku, Tokyo, 169, Japan

    Setsuo Ohsuga

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© 2001 Springer-Verlag Berlin Heidelberg

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Takeda, K., Nomiyama, H. (2001). Personalized Web Knowledge Management. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_24

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  • DOI: https://doi.org/10.1007/3-540-45490-X_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42730-8

  • Online ISBN: 978-3-540-45490-8

  • eBook Packages: Springer Book Archive

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