Spatial Data Traversal in Road Map Databases: A Graph Indexing Approach.

J. Leon Zhao, Ahmed Zaki: Spatial Data Traversal in Road Map Databases: A Graph Indexing Approach. CIKM 1994: 355-362

@inproceedings{DBLP:conf/cikm/ZhaoZ94,
  author    = {J. Leon Zhao and
               Ahmed Zaki},
  title     = {Spatial Data Traversal in Road Map Databases: A Graph Indexing
               Approach},
  booktitle = {Proceedings of the Third International Conference on Information
               and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November
               29 - December 2, 1994},
  publisher = {ACM},
  year      = {1994},
  pages     = {355-362},
  ee        = {db/conf/cikm/ZhaoZ94.html, http://doi.acm.org/10.1145/191246.191308},
  crossref  = {DBLP:conf/cikm/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Spatial data are found in geographic information systems such as digital road map databases where city and road attributes are associated with nodes and links in a directed graph. Queries on spatial data are expensive because of the recursive property of graph traversal. We propose a graph indexing technique to expedite spatial queries where the graph topology remains relatively stationary. Using a probabilistic analysis, this paper shows that the graph indexing technique significantly improves the efficiency of constrained spatial queries.

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Proceedings of the Third International Conference on Information and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November 29 - December 2, 1994. ACM 1994
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