A New Structure for Accelerating XPath Location Steps

  • Yaokai Feng
  • Akifumi Makinouchi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4016)


Multidimensional indices have been successfully introduced to the field of querying on XML data. Using R*-tree, T. Grust proposed an interesting method to support all XPath axes. In that method, each node of an XML document is labeled with a five-dimensional descriptor. All the nodes of the XML document are mapped to a point set in a five-dimensional space. T. Grust made it clear that each of the XPath axes can be implemented by a range query in the above five-dimensional space. Thus, R*-tree can be used to improve the query performance for XPath axes. However, according to our investigations, most of the range queries for the XPath axes are partially-dimensional range queries. That is, the number of query dimensions in each of the range queries is less than five, although the R*-tree is built in the five-dimensional space. If the existing multidimensional indices are used for such range queries, then a great deal of information that is irrelevant to the queries also has to be read from disk. Based on this observation, a new multidimensional index structure (called Adaptive R*-tree) is proposed in this paper to support the XPath axes more efficiently.


Index Structure Range Query Query Performance XPath Expression Multidimensional Index 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yaokai Feng
    • 1
  • Akifumi Makinouchi
    • 1
  1. 1.Graduate School of Information Science and Electrical EngineeringKyushu UniversityFukuoka CityJapan

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