Schema integration of heterogeneous geospatial database

Kehua Su; Xinyan Zhu; Fanmin Kong

doi:10.1117/12.813117

10 November 2008 Schema integration of heterogeneous geospatial database

Kehua Su, Xinyan Zhu, Fanmin Kong

Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71460Q (2008) https://doi.org/10.1117/12.813117
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

The integration of heterogeneous geospatial data offers possibilities to manually and automatically derive new information, which are not available when using only a single data source. This paper presents a three-level schema integration architecture which consists of local schemas, mapped schemas, and a global schema, for global heterogeneous geospatial systems. we describe a machine-learning based approach for GIS schema matching. Our approach extends existing machine-learning approaches for (traditional) data mapping but departs from them due to the nature of geographic data. Our solution reduces the complex mappings by identifying different values of a determining property.

Citation Download Citation

Kehua Su, Xinyan Zhu, and Fanmin Kong "Schema integration of heterogeneous geospatial database", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71460Q (10 November 2008); https://doi.org/10.1117/12.813117

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