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.
出处
《软件学报》
EI
CSCD
北大核心
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)