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Proceedings Paper

Building an intelligent geospatial cyberinfrastructure: an analytical problem solving approach
Author(s): Tong Zhang; Ming-Hsiang Tsou; Qinghua Qiao; Lin Xu
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Paper Abstract

Establishing a geospatial cyberinfrastructure is essential for the future development of geospatial information systems and services. Geospatial cyberinfrastructure will foster seamless integration of heterogeneous geospatial information, web-based mapping and geo-analytical services across the Internet. This paper will first discuss the significance of geospatial cyberinfrastructure for the GIS community and highlight several underpinning techniques of geospatial cyberinfrastructure, including Grid computing, Web Services, OGC (Open Geospatial Consortium) interoperability standards and Semantic Web. Emphasis is given to the discussion of developing intelligent and analytical geospatial information services in the geospatial cyberinfrastructure. An analytical problem solving multi-tier architecture is proposed as a theoretical foundation for the geospatial cyberinfrastructure. Part of the architecture is demonstrated by a simplified prototype which is used to test the feasibility of the proposed multi-tier geospatial cyberinfrastructure.

Paper Details

Date Published: 28 October 2006
PDF: 14 pages
Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 64200A (28 October 2006); doi: 10.1117/12.712656
Show Author Affiliations
Tong Zhang, San Diego State Univ. (United States)
Ming-Hsiang Tsou, San Diego State Univ. (United States)
Qinghua Qiao, Wuhan Univ. (China)
Lin Xu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6420:
Geoinformatics 2006: Geospatial Information Science

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