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A New Conceptual Graph Generated Algorithm for Semi-structured Databases

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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

As the World Wide Web grows dramatically in recent years, there is increasing interest in semi-structured data on the web. Semi-structured data are usually represented in graph format, many graph schemas have then been proposed to extract schemas from those data graphs. Conceptual graphs, which use incremental conceptual clustering method to extract schemas, have initially been proposed in 2000. In this paper, we revise the original algorithm to generate a conceptual graph by proposing some new operators in the construction process. The results have shown that with the revised algorithm, the quality of the conceptual graphs has been improved for query optimization.

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Author information

Authors and Affiliations

  1. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, China

    Kam Fai Wong & Yat Fan Su

  2. National Laboratory on Machine Perception, Peking University, Beijing, 100871, China

    Dongqing Yang & Shiwei Tang

Authors
  1. Kam Fai Wong
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  2. Yat Fan Su
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  3. Dongqing Yang
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  4. Shiwei Tang
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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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Wong, K.F., Su, Y.F., Yang, D., Tang, S. (2001). A New Conceptual Graph Generated Algorithm for Semi-structured Databases. 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_32

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  • DOI: https://doi.org/10.1007/3-540-45490-X_32

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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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