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Proceedings Paper

Knowledge-based geographic model integration
Author(s): Hui Yang; Guonian Lu; Jia Wang; Ying Hu; Yi Yang; Yongning Wen
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Paper Abstract

To quickly respond to development of the information technology, GIS must be able to create, manage and optimize spatial analyses. Building up spatial analyses using pre-existing geographic models can lead to higher efficiency in fulfilling complex analytical goal. We propose a knowledge-based approach, which meets spatial analyses requirements by integrating distributed and heterogeneous geographic model sources spread over the web. This paper suggests that geographic model integration should be based on the knowledge that we can separate it into syntactic wrapping, semantic representation and domain mapping sub-problems. The architecture for knowledge-based geographic model integration is presented that comprises several functional layers to provide web services to locate, share, and publish model sources. This paper will emphasize on knowledge-based approach to support geographic model integration to simplify the cooperation of geographic scientists.

Paper Details

Date Published: 7 August 2007
PDF: 9 pages
Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67540F (7 August 2007); doi: 10.1117/12.764611
Show Author Affiliations
Hui Yang, Nanjing Normal Univ. (China)
Guonian Lu, Nanjing Normal Univ. (China)
Jia Wang, Nanjing Normal Univ. (China)
Ying Hu, Nanjing Normal Univ. (China)
Yi Yang, Nanjing Normal Univ. (China)
Yongning Wen, Nanjing Normal Univ. (China)

Published in SPIE Proceedings Vol. 6754:
Geoinformatics 2007: Geospatial Information Technology and Applications

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