Indexing temporal data with virtual structure

  • Authors:
  • Bela Stantic;Justin Terry;Rodney Topor;Abdul Sattar

  • Affiliations:
  • Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia;Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia;Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia;Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia

  • Venue:
  • ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
  • Year:
  • 2010

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Abstract

Temporal and spatio-temporal data are present in many modern application systems, including monitoring moving objects. Such systems produce enormous volume of data, and therefore efficient indexing method is crucial. In this paper, we investigate and present a new concept based on virtual index structure, which can efficiently query such data. Concept is based on spatial representation of interval data and a recursive triangular decomposition of that space. The empirical performance of presented concept is demonstrated to be superior to its best known competitors.