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A New Indexing Structure to Speed Up Processing XPath Queries

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 3453)

Abstract

In this paper, the focus is on accelerating XPath location steps for evaluating regular path expression with predicate parameter in particular since it is a core component of many XML processing standards such as XSLT or XQuery. We present a new indexing structure, namely Xp-tree, which is used to speed-up the evaluation of XPath. Based on accelerating a node using planar combined with the numbering scheme, we devise efficiently derivative algorithms. Our experimental results demonstrate that the proposed method outperforms previous approaches using R-tree indexing mechanism in processing XML queries.

Keywords

  • Leaf Node
  • Child Node
  • XPath Query
  • Context Node
  • Sibling Node

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This work was supported by University IT Research Center Project in Korea.

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© 2005 Springer-Verlag Berlin Heidelberg

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Hwang, J.H., Nguyen, V.T., Ryu, K.H. (2005). A New Indexing Structure to Speed Up Processing XPath Queries. In: Zhou, L., Ooi, B.C., Meng, X. (eds) Database Systems for Advanced Applications. DASFAA 2005. Lecture Notes in Computer Science, vol 3453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11408079_82

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  • DOI: https://doi.org/10.1007/11408079_82

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25334-1

  • Online ISBN: 978-3-540-32005-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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