Spatial Query Processing Using Object Decomposition Method.

Yong-Ju Lee, Ho-Hyun Park, Nam-Hee Hong, Chin-Wan Chung: Spatial Query Processing Using Object Decomposition Method. CIKM 1996: 53-61

@inproceedings{DBLP:conf/cikm/LeePHC96,
  author    = {Yong-Ju Lee and
               Ho-Hyun Park and
               Nam-Hee Hong and
               Chin-Wan Chung},
  title     = {Spatial Query Processing Using Object Decomposition Method},
  booktitle = {CIKM '96, Proceedings of the Fifth International Conference on
               Information and Knowledge Management, November 12 - 16, 1996,
               Rockville, Maryland, USA},
  publisher = {ACM},
  year      = {1996},
  pages     = {53-61},
  ee        = {db/conf/cikm/LeePHC96.html, http://doi.acm.org/10.1145/238355.238374},
  crossref  = {DBLP:conf/cikm/96},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

We propose a new object decomposition method, called DMBRs, to improve the performance of spatial query processing. This method is suitable for complex spatial objects in real-world geographic applications. The basic idea is that a polygon is recursively divided into two sub-polygons by splitting its MBR until a given constraint is satisfied. To increase the efficiency of the DMBRs method, an extension of an existing spatial indexing structure is presented. Since this new structure can prune a number of false hits quickly, the performance of spatial query processing can be improved. The proposed method is compared with traditional decomposition methods by analytical study. This comparison shows that our decomposition method outperforms the traditional decomposition methods.

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CIKM '96, Proceedings of the Fifth International Conference on Information and Knowledge Management, November 12 - 16, 1996, Rockville, Maryland, USA. ACM 1996
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