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Using object deputy database to realize multi-representation geographic information system
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Source Geographic Information Systems archive
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems table of contents
Seattle, Washington
POSTER SESSION: Poster session table of contents
Article No. 43  
Year of Publication: 2007
ISBN:978-1-59593-914-2
Authors
Zhiyong Peng  Wuhan University, Hubei, China
Yuwei Peng  Wuhan University, Hubei, China
Boxuan Zhai  Wuhan University, Hubei, China
Sponsors
: Oak Ridge National Laboratory
: Google
: ESRI
Microsoft : Microsoft
Publisher
ACM  New York, NY, USA
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ABSTRACT

Multi-representation geographic information system (GIS) is used to store and manage geographic objects with different scales and semantics. It is difficult for relational and object-oriented databases to support multi-representation GIS. This paper proposed a new approach to realize multi-representation GIS using our object deputy database, where an object can have multiple deputy objects which inherit attributes and methods of the source object and can have their own attributes and methods. Multi-representations of a geographic object are defined by its deputy objects. So deputy objects can be used to represent viewpoint-multiplicity and role-multiplicity of geographic objects. Dynamic classification and automatic consistency maintenance of geographic objects can be supported through the update propagation mechanism of our object deputy database. In addition, the bilateral links between a geographic object and its deputy objects make cross-representation query easier. We have implemented a multi-representation GIS based on our object deputy database. Experiments show our method is more efficient than the traditional ones.


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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S. Balley, C. Parent, and S. Spaccapietra. Modeling geographic data with multiple representations. International Journal of Geographical Information Science, 18(4):329--354, June 2004.
 
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M. Dunkars. Automated generalization in a multiple representation database. In Proceeding of the 12th International Conference on Geoinformatics, pages 741--748, June 2004.
 
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H. Kang, J. Moon, and K. Li. Data update across multi-scale databases. In Proceeding of the 12th International Conference on Geoinformatics, pages 91--102, June 2004.
 
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A. Samal, S. Seth, and K. Cueto. A feature-based approach to conflation of geospatial sources. International Journal of Geographical Information Science, 18(5):459--489, 2004.

Collaborative Colleagues:
Zhiyong Peng: colleagues
Yuwei Peng: colleagues
Boxuan Zhai: colleagues