Please use this identifier to cite or link to this item:

Hierarchical Constraint Satisfaction in Spatial Databases

Authors Papadias, Dimitris
Kalnis, Panos
Mamoulis, Nikos
Issue Date 1999
Source Proceedings of the National Conference on Artificial Intelligence , 1999, p. 142-147
Summary Several content-based queries in spatial databases and geographic information systems (GISs) can be modelled and processed as constraint satisfaction problems (CSPs). Regular CSP algorithms, however, work for main memory retrieval without utilizing indices to prune the search space. This paper shows how systematic and local search techniques can take advantage of the hierarchical decomposition of space, preserved by spatial data structures, to efficiently guide search. We study the conditions under which hierarchical constraint satisfaction outperforms traditional methods with extensive experimentation.
ISBN 0262511061
Language English
Format Conference paper
Access View full-text via Web of Science
View full-text via Scopus
Files in this item:
File Description Size Format
aaai99.pdf 126725 B Adobe PDF