International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
193 Study on the Query Optimization for the Deep Web Data Integration System
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In order to query and retrieve the rich and useful information hidden in the Deep Web efficiently, Deep Web Data Integration Systems (DWDIS) are in active research. To build a practical and useful DWDIS, one of the key problems is to raise the query efficiency. In this paper, by mining the user query logs, adopting the idea of high-speed cache, adding a well-designed local index database in the DWDIS and other steps, a novel optimal query model NDWDIS is presented. Besides, a corresponding strategy for updating the content of the local index database is given and a theoretical qualitative analysis is made of the proposed method.