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Integrity Theory for Resource Space Model and Its Application

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Advances in Web-Age Information Management (WAIM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3739))

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Abstract

The Resource Space Model (RSM) is a semantic data model based on orthogonal classification semantics for effectively managing various resources in interconnection environment. In parallel with the integrity theories of relational and XML-based data models, this keynote presents the integrity theory for the RSM, including the entity integrity constraints based on the key system of the RSM, the membership integrity constraints, the referential integrity constraints, and the user-defined integrity constraints relevant to applications. This theory guarantees the RSM to correctly and efficiently specify and manage resources. Its implementation approach and application in culture exhibition are demonstrated.

This work is supported by National Basic Research and Development Program (Semantic Grid Project, No. 2003CB317001) and the National Science Foundation of China.

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Author information

Authors and Affiliations

  1. China Knowledge Grid Research Group, Key Lab of Intelligent Information Processing Institute of Computing Technology, Chinese Academy of Sciences, 100080, Beijing, China

    Hai Zhuge & Yunpeng Xing

Authors
  1. Hai Zhuge
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  2. Yunpeng Xing
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Editor information

Editors and Affiliations

  1. University of Edinburgh & Bell Laboratories,  

    Wenfei Fan

  2. College of Computer Science, Zhejiang University, 310027, Hangzhou, Zhejiang, China

    Zhaohui Wu

  3. Dept. of E. I. E, Huazhong University of Science and Technology, Wuhan, China

    Jun Yang

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhuge, H., Xing, Y. (2005). Integrity Theory for Resource Space Model and Its Application. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_2

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  • DOI: https://doi.org/10.1007/11563952_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29227-2

  • Online ISBN: 978-3-540-32087-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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