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Modeling Dynamic Properties in the Layered View Model for XML Using XSemantic Nets

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Advanced Web and Network Technologies, and Applications (APWeb 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3842))

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Abstract

Due to the increasing dependence on semi-structured data, there exists a requirement to model, design, and manipulate self-describing, schema-based, semi-structured data models (e.g. XML) and the associated semantics at a higher level of abstraction than at the instance level. In this paper, we propose to model dynamic properties of a layered XML view model, at the conceptual level, using eXtensible Semantic (XSemantic) nets.

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Author information

Authors and Affiliations

  1. eXel Lab, Faculty of IT, University of Technology, Sydney, Australia

    R. Rajugan & Tharam S. Dillon

  2. School of Information Systems, Curtin University of Technology, Australia

    Elizabeth Chang

  3. Faculty of Computer Science, University of Twente, The Netherlands

    Ling Feng

Authors
  1. R. Rajugan
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  2. Elizabeth Chang
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  3. Ling Feng
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  4. Tharam S. Dillon
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Editor information

Editors and Affiliations

  1. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia

    Heng Tao Shen

  2. School of Computer Science and Technology, Heilongjiang University, P.O. Box, 150080, Harbin, China

    Jinbao Li

  3. Department of Computer Science and Engineering, Shanghai Jiatong University, 80 Dongcuan Road, 200240, Shanghai, China

    Minglu Li

  4. Department of Computer Science, College of Liberal Arts and Science, University of Iowa, 52242, Iowa City, IA, USA

    Jun Ni

  5. UNC Chapel Hill,  

    Wei Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Rajugan, R., Chang, E., Feng, L., Dillon, T.S. (2006). Modeling Dynamic Properties in the Layered View Model for XML Using XSemantic Nets. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_19

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  • DOI: https://doi.org/10.1007/11610496_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31158-4

  • Online ISBN: 978-3-540-32435-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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