Integration of a structural index with a structural join for accelerating path queries

  • Authors:
  • Jongik Kim;SooCheol Lee;Oh-Cheon Kwon

  • Affiliations:
  • Telematics Service Convergence Research Team, Telematics USN Research Division, Electronics and Telecommunications Research Institute, Daejon, Korea;Telematics Service Convergence Research Team, Telematics USN Research Division, Electronics and Telecommunications Research Institute, Daejon, Korea;Telematics Service Convergence Research Team, Telematics USN Research Division, Electronics and Telecommunications Research Institute, Daejon, Korea

  • Venue:
  • ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Current techniques for processing XML queries can be divided into two groups. One is structural index techniques that reduce the search space by traversing a structural summary instead of a data graph. And the other is structural join techniques that can efficiently compute ancestor-descendant pairs from two lists of nodes without traversing the data graph. In this paper, we propose a structural index technique and a novel structural join technique and we prove that these two proposed techniques are integrated to accelerate processing of a path query in the experiments.