Geospatial extension on data grid integration and distributed query processing

High-level data access and integration services have been adopted as the next generation platform to share, access, transport, and manage large data collections distributed worldwide. Geospatial data is provided with complex structure and complex semantics. The importance of geospatial extension on data integration and distributed query has long been recognized a pivotal question in geospatial data storage and analysis. In this article, we discuss the key concepts behind service based data integration mechanism and geospatial query specification. We then provide geospatial extension of service based data integration with heterogeneous database platform in data grid environment. In particular, we come up with an implementation of geospatial analysis in query processing on top of data grid component. Finally, we provide object query tree to illustrate the analysis and execution of geospatial query sentence in accordance with SQL Multimedia specification. The approach of spatial data access and integration, as well as the description, deployment and invoking of data services in distributed environment will contribute a lot to the storage and integration of large scale geological survey and high resolution remote sensing data in digital earth application.