A new structure for accelerating Xpath location steps

Yaokai Feng, Akifumi Makinouchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publicationAdvances in Web-Age Information Management - 7th International Conference, WAIM 2006, Proceedings
PublisherSpringer Verlag
Number of pages12
ISBN (Print)3540352252, 9783540352259
Publication statusPublished - 2006
Event7th International Conference on Advances in Web-Age Information Management, WAIM 2006 - Hong Kong, China
Duration: Jun 17 2006Jun 19 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4016 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other7th International Conference on Advances in Web-Age Information Management, WAIM 2006
CityHong Kong

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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