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Query transformation method by delaunay triangulation for multi-source distributed spatial database systems
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Proceedings of the 9th ACM international symposium on Advances in geographic information systems table of contents
Atlanta, Georgia, USA
Session: Distributed, Web-based GIS table of contents
Pages: 41 - 46  
Year of Publication: 2001
ISBN:1-58113-443-6
Authors
Jung-Rae Hwang  Pusan National University, South Korea
Ji-Hyeon Oh  Pusan National University, South Korea
Ki-Joune Li  Pusan National University, South Korea
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

One of the difficulties in building a distributed GIS comes from the heterogeneity of spatial databases. In particular, positional mismatches between spatial databases arise due to several reasons, such as different scales, or different ground control points. They result in unreliable outputs of query processing. One simple solution is to correct positional data in spatial databases at each site, according to the most accurate one. This solution is however not practical in most of the cases where the autonomy of each database should be respected. In this paper, we propose a spatial query processing method without correcting positional data in each spatial database. Instead of correcting positional data, we dynamically transform a given query region or position onto each space where spatial objects of each site are located. Our method is based on an elastic transformation method by delaunay triangulation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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3
M. G. Cho and H. G. Cho, "Resolving Mismatches and Measure Functions for Evaluating its Validity", Proc. Spatial Data Handling, pp.55--65, 2000.
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Collaborative Colleagues:
Jung-Rae Hwang: colleagues
Ji-Hyeon Oh: colleagues
Ki-Joune Li: colleagues