Indexing the fully evolvement of spatiotemporal objects

  • Authors:
  • Hung-Yi Lin

  • Affiliations:
  • Department of Distribution Management, National Taichung Institute of Technology, Taichung, Taiwan, R.O.C.

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2010

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Abstract

This paper proposes a novel economic and efficient framework of indexing spatiotemporal objects based on compressed B+-trees. Our new index technique can compress data records in leaves and in turn reduce index size to improve update and query efficiencies. The contribution of our framework is threefold. First, the proposed index structures are more succinct to resident in the main memory. Second, sufficient data with high similarity inside all indexing pages for the high retrieval quality of cache fetches are attainable. Third, in addition to process multi-dimensional spatial information, our framework is typically appropriate to model the valid- and transaction-time of a fact. We present the index efficiency analyses and experimental results which show that our technique outperforms others.