Research On The Integration And Service Of Multiple Spatial Location Data

With the development of spatial location information in social information relevant applications, the requirement becomes more complex and the accuracy of spatial location data service needs to be improved again, the necessity of spatial location data integrated management and service is increasing stronger and stronger. As one of the important parts of spatial location information, geographic name, address and point of interest are widely used in departments of public security, civil administration, Surveying and mapping and so on. Their internal consistency is so close at semantic description, geometric position and time series and their integration is one of important ways to resolve the problems of spatial location data service.There are so many problems between pre-existing geographic name, address and POI, such as the lack of association relation, the separation of data management and the unitary service.This dissertation focuses on an approach to built the relationship between multiple spatial location data and design a new query method to lay the foundation of integrated data management and service. This will also provide technical support for city planning, logistics and transportation, population management and other spatial location applications. The major research and achievements in this paper are as following:(1) Build the relationship between multiple spatial location data on the basis of correlation between geographical name, address and POI, by calculating the similarity of semantic description with the algorithms of Levenshtein distance and geometric position distance and time sequences, we design a method to correlate the spatial locations. With the data from Nanjing major roads and some address, the match test gets the result with R=94.20% and P=80.14%.(2) Design a new query method and standard service for multiple spatial location data. On the basis of pre-existing query methods, design a better index structure with the features of spatial location data. By reorganizing the query conditions of resolved input information and different algorithms of sorting, we get a better query results. With Nanjing’s geographical name, address and poi, the match test get R=92.64%and P=87.54%.According to rules of the wfs-g service. We set up a standard interface to provide service.(3) Multiple spatial location data integration and service prototype system. Based on the research achievements, design a prototype system with the functions of multiple spatial location data correlating, management and querying.The studies proposed in this dissertation suggest that the method based on the combination of semantic descripttion similarity and geographical position proximity can effectively improve the correlation results of multiple spatial location data and the query method based on the combination of full-text retrieving and features of multiple spatial location data can provide better query results than traditional hierarchical elements query method and the simple full-text retrieval.