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Schema Based Data Storage and Query Optimization for Semi-structured Data1

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Web-Age Information Management (WAIM 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1846))

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Abstract

Semi-structured data is generally modeled as labeled graphs. Data in such models is self-describing and dynamically typed, and captures both schema and data information. Such models, although flexible, evoke severe efficiency penalties compared to querying structured database, such as relational databases. In order to improve the efficiency of data manipulation by utilizing structure information, we propose a technique to rearrange semistructured data according to its schema and to store data in simple relations. With the help of schema based data storage, queries for semi-structured data can be evaluated by relational operations. The optimization effect is also inspected in this paper.

National Science Foundation (69773027)

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China, People’s Republic

    QinKe Wang

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China, People’s Republic

    LiZhu Zhou

Authors
  1. QinKe Wang
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  2. LiZhu Zhou
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China

    Hongjun Lu

  2. Department of Computer Science, Fudan University, 220 Handan Road, Shanghai, China

    Aoying Zhou

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© 2000 Springer-Verlag Berlin Heidelberg

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Wang, Q., Zhou, L. (2000). Schema Based Data Storage and Query Optimization for Semi-structured Data1 . In: Lu, H., Zhou, A. (eds) Web-Age Information Management. WAIM 2000. Lecture Notes in Computer Science, vol 1846. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45151-X_37

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  • DOI: https://doi.org/10.1007/3-540-45151-X_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67627-0

  • Online ISBN: 978-3-540-45151-8

  • eBook Packages: Springer Book Archive

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