Research On Multi-source Spatial Data Integrating Access Methods Based On SOA

With the rapid development of spatial data acquisition technology, human beingsacquire and accumulate large amount of spatial data resources, which is distributed andheterogeneous on network. This makes the multi-source spatial data integratingtechnology becoming an urgent problem that need to be solved.While in practical appliance, there are still some deficiencies in the solutions ofdata integration at present. Firstly, data processing takes long time, making theefficiency of data accessing is bad. Secondly, the system's expansibility is bad becauseit is strong coupling. Connecting a new data source is complex. Thirdly, the system'sopenness is bad because it is dependent or limited by special technique.According to the deficiencies discussed above,this paper studied a data integrationmethod in the form of loose coupling which is used to access the distributed andheterogeneous data in the network environment. The main idea is: Enhance thenormative of the distributed data source accessing interface based on SOA (ServiceOriented Architec). With efficient organization and rapid preprocessing of the spatialdata from different data source, improve the accessing efficiency when accessing tosingle data source in real time, and then furthermore improve the integrating accessefficiency of the whole system. The main jobs of this paper are:1. Propose a SOA-based multi-source spatial data integrating access framework.The framework is loose coupling and has good expansibility. This ensure the autonomyof the data resources. Besides the connection configuration is flexible and simple.2. Use a data subdivision and organization method that orients rapid visualization,a data dynamic scheduling method based on the viewpoint of viewable region. Bybuilding a unified visualization framework, the accessing efficiency of spatial data isimproved.3. Propose a remote image pyramid index parallel building method. The methodprocesses data in the cluster environment using MPI parallel programming technics. Itspeeds up the spatial data preprocessing rate.4. Design and implement two methods which are used to publish and integratingaccess the spatial data service. The methods are called WMS (Web Map Service) andTMS (Tile Map Service) respectively. They are network-oriented and in line with SOA.5. Design and implement a SOA-based multi-source spatial data integrating accessprototype system. The prototype system validates the feasibility of the key technologiesand solutions proposed in the paper.