基于知识的Deep Web集成环境变化处理的研究  

Study on Environmental Changes Processing in Deep Web Integration Based on Knowledge

作　　者：徐和祥[1] 王鑫印[1] 王述云 胡运发[1] 

机构地区：[1]复旦大学计算机科学与信息技术系,上海200433

出　　处：《软件学报》2008年第2期257-266,共10页Journal of Software

基　　金：Supported by the National Natural Science Foundation of China under Grant No.60473070 (国家自然科学基金)

摘　　要：研究了Deep Web集成环境中构件的依赖关系(执行偏序依赖和知识依赖),并在此基础上提出了一种基于知识的环境变化的处理方法,包括Deep Web集成环境变化处理模型以及适应Deep Web环境变化的动态体系结构和处理算法,可以对大规模Deep Web集成的进一步探索和走向应用提供参考.实验结果表明,该方法不仅可以处理Deep Web环境的变化,还可以大幅度提高集成系统的性能.Based on the research on the dependence of the components in the deep Web integration （executive partial order and knowledge dependency）, a knowledge-based method is given to process the changes in such integration, which includes environmental changes processing model, a self-adaptive software architecture and algorithm, This method can provide a reference to the further research or toward application for the large-scale deep Web integration, The experimental results show that the method can not only process the changes, but also highly improve the performance of the integrated system.

关 键 词：知识 DEEP WEB集成 环境变化 软件体系结构 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]