Paper
7 August 2007 Knowledge-based geographic model integration
Hui Yang, Guonian Lu, Jia Wang, Ying Hu, Yi Yang, Yongning Wen
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui Yang, Guonian Lu, Jia Wang, Ying Hu, Yi Yang, and Yongning Wen "Knowledge-based geographic model integration", Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67540F (7 August 2007); https://doi.org/10.1117/12.764611
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Data modeling

Systems modeling

Integrated modeling

Process modeling

Geographic information systems

Spatial analysis

Web services

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