Query processing in spatial network databases

  • Authors:
  • Dimitris Papadias;Jun Zhang;Nikos Mamoulis;Yufei Tao

  • Affiliations:
  • Department of Computer Science, Hong Kong University of Science and Technology, Clearwater Bay, Hong Kong;Department of Computer Science, Hong Kong University of Science and Technology, Clearwater Bay, Hong Kong;Department of Computer Science and Information Systems, University of Hong Kong, Hong Kong;Department of Computer Science, City University of Hong Kong, Hong Kong

  • Venue:
  • VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
  • Year:
  • 2003

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Abstract

Despite the importance of spatial networks in real-life applications, most of the spatial database literature focuses on Euclidean spaces. In this paper we propose an architecture that integrates network and Euclidean information, capturing pragmatic constraints. Based on this architecture, we develop a Euclidean restriction and a network expansion framework that take advantage of location and connectivity to efficiently prune the search space. These frameworks are successfully applied to the most popular spatial queries, namely nearest neighbors, range search, closest pairs and e-distance joins, in the context of spatial network databases.