Geospatial data sharing is an increasingly important subject as large amount of spatial data is produced by a variety of sources, stored in incompatible formats, and accessed by different GIS application. Due to the limitations of the techniques, funds, as well as policies, many scholars have been focusing on the design and implementation of the common interface, which is more and more popularly accepted by data normalization communities and GIS software companies. Along with the evolution of computer hardware and software technologies, high performance geographic computing has come into being facing to large-scale geo-spatial data. So the research on parallel strategy for geographic computing becomes a focus. This paper aims to discuss one parallel computing approach of spatial vector data conversion based on common interface.
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