Key Technology of Intelligent and On-demand Data Service in Multi- Space Agency

This research is aimed to reduce the complexity of heterogeneous spatial data in system that services user on demand. Heterogeneous include heterogeneous standards, heterogeneous systems, heterogeneous mode and the heterogeneous contents of data. For this purpose, we describe the data conformably with Grid based on Web Service. This research implemented the method, and provided a set of middleware and standards. And, on the data service convergence layer where services can be used, this paper proposes the solutions of service semantic heterogeneous phenomenon by the use of spatial information ontology.