The Decomposition and Optimization of the Global Query of Heterogeneous Database System Based on Neural Network Technique
Renqing Li, Zhong-de Yu · 한국멀티미디어학회 국제학술대회 · 2006
To decompose and optimize a global query perfectly is very hard in the field of heterogeneous database integration. Although there are a lot of methods about the decomposition and optimization of global query, but very few reliable work is reported in this area. This paper describes a new method of decomposition and optimization for integral query of heterogeneous database based on neural network technique. This method can decompose a global query into subqueries promptly and optimize these subqueries effectively. Its feasibility has been verified in a simplified heterogeneous database system.