A Pattern Matching Language for Spatio-Temporal Databases.

Tsz S. Cheng, Shashi K. Gadia: A Pattern Matching Language for Spatio-Temporal Databases. CIKM 1994: 288-295

@inproceedings{DBLP:conf/cikm/ChengG94,
  author    = {Tsz S. Cheng and
               Shashi K. Gadia},
  title     = {A Pattern Matching Language for Spatio-Temporal Databases},
  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     = {288-295},
  ee        = {db/conf/cikm/ChengG94.html, http://doi.acm.org/10.1145/191246.191296},
  crossref  = {DBLP:conf/cikm/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

We propose a pattern matching language for spatio-temporal databases. The matching process in time dimension is based upon the evolutionary nature of time, but in spatial dimension it is based on placement, shape and sizes of regions. The concept of pattern matching introduced in this paper is independent of the choice of the underlying model for spatio-temporal databases. In particular, the pattern matching language seamlessly extends our SQL-like query language ParaSQL for spatio-temporal databases. The pattern matching language would also have application in active databases, because patterns can be used as triggers.

Copyright © 1994 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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BibTeX

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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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Referenced by

Luca Forlizzi, Ralf Hartmut Güting, Enrico Nardelli, Markus Schneider: A Data Model and Data Structures for Moving Objects Databases. SIGMOD Conference 2000: 319-330

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