Abstract
Based on the current situation of digital map resource interconnection and mutual inspection, this paper studies three modes of unified retrieval of traditional guided data sources, and proposes a digital map resource retrieval model based on Web Services. This paper also designs digital map resources unified retrieval result fusion algorithm and metadata update algorithm based on Web Services in detail, which can be used for the development of digital map resource unified retrieval system.
Highlights
In the network environment, digital map resources are growing rapidly
There are more and more map database management systems with map query function for these digital map resources. These map database management systems are independent of each other, resulting in lack of necessary links among various database management systems and causing the phenomenon of “information islands” [1], which makes it takes a lot of time and effort for users to perform map query, and the precision and recall rate are not high
The heterogeneous digital map resource query technology studied by the thesis can provide users with automatic discovery and active service functions; the proposed unified query mode of digital map resources based on Web Services solves the defects of traditional heterogeneous data source query mode, and integrates the advantages of map query service query and local spatial meta-database query
Summary
Digital map resources are growing rapidly. There are more and more map database management systems with map query function for these digital map resources. The mode obtains the metadata information through distributed webpage query proxy simulating the user sending request to the website of each data source, and returns to users after integrating all the acquired metadata information. This mode is characterized by highgranularity, real-time query of many online resources, greatly improving the user’s precision; in order to obtain more metadata information, the Web structure hierarchy and data organization mode of each data source must be analyzed in detail, and different query requests need to be converted in order to meet the interaction requirements of each data source. Unified metadata standards, data integration mechanisms and publish results mechanisms shall be formulated
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