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10 November 2008 VGEs-oriented multi-sourced heterogeneous spatial data integration
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Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71460D (2008) https://doi.org/10.1117/12.813104
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
The world of today heavily relies on spatial data to manage the natural and built environments, also to construct virtual geographic environments (VGEs). After analyzed the characteristics of multi-sourced heterogeneous spatial data in VGEs, a Data Representation Model oriented to VGEs (XGE-DRM) was designed in this paper. The XGE-DRM provides not only a clear description of the data, but also defines the relationships among the data, it is critical for users to interpret data correctly. XGE-DRM provides a common data model to define a data representation structure for traditional data and spatial data. Using it, users can customize their geographic data to correctly interpret other data. Then the processes and framework of multi-sourced heterogeneous spatial data integration were proposed, and the spatial data parsing was discussed. Lastly, the platform system of multi-sourced heterogeneous spatial data integration was designed and developed under the VS.NET2005 development environment combined with XML technology, and it can solve the bottleneck problems arise in geographic information resources which under the heterogeneous environment. Some experiments were designed and discussed, by those experiments; it had shown that the platform we developed can integrate multi-sourced heterogeneous spatial data effectively and were works better than other similar platform systems.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongjun Su, Yongning Wen, Min Chen, Hong Tao, and Jingwei Shen "VGEs-oriented multi-sourced heterogeneous spatial data integration", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71460D (10 November 2008); https://doi.org/10.1117/12.813104
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