Study on Some Key Technologies Supporting Deep Web Database Grid
支持Web深层数据库网格的部分关键技术的研究

Nowadays,the number of deep Web databases is increasing rapidly,while their knowledge cannot be utilized effectively.This paper provides the idea of applying deep Web databases to grid environment,and focuses on some key technologies supporting deep Web database grid,mainly including:(1)Study on meta information model definition of deep Web databases and schema extraction.(2)Study on multi-level schema matching model and self-adaptive model.(3)Study on Web database query and integration model based on attributes relaxes.(4)Study on multi-object cost function model and local-oriented adaptive optimization schedule model.The research results of the project are aiming to give better support for building deep Web database grid system,just as the definition of grid,and to provide integrated deep Web data knowledge to users by means of uniform portal on demands.These key technologies will play an important role in future applications.