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基于知识的Deep Web集成环境变化处理的研究
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Supported by the National Natural Science Foundation of China under Grant No.60473070 (国家自然科学基金)


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

    Abstract:

    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.

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徐和祥,王鑫印,王述云,胡运发.基于知识的Deep Web集成环境变化处理的研究.软件学报,2008,19(2):257-266

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  • 收稿日期:2007-08-31
  • 最后修改日期:2007-12-05
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