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Constraints-preserving GML storage in object-relational databases
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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. 50  
Year of Publication: 2007
ISBN:978-1-59593-914-2
Authors
Fubao Zhu  Wuhan University, Wuhan, China
Jihong Guan  Tongji University, Shanghai, China
Shuigeng Zhou  Fudan University, Shanghai, China
Sponsors
: Oak Ridge National Laboratory
: Google
: ESRI
Microsoft : Microsoft
Publisher
ACM  New York, NY, USA
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ABSTRACT

As Geography Markup Language (GML) becomes a standard for geographic information representation on the internet, more needs to efficiently store and retrieve GML data arise. Storing and retrieving GML data in object-relational database is a proper option considering its sophisticated technology and object-oriented features. The existing storage approaches for GML are not satisfactory for they consider only data aspects while ignoring semantic constraints. In the paper, we explore the structure and semantic characteristics existed in GML, and present a method to capture and map these constraints into object-relational databases during GML storage. Comparing with the existing methods, our approach preserves not only the data and structure, but also its semantics of GML document.


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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Collaborative Colleagues:
Fubao Zhu: colleagues
Jihong Guan: colleagues
Shuigeng Zhou: colleagues