Deep Web数据集成中模式匹配算法的研究

Research on the pattern matching algorithm for data integration of Deep Web

为了方便用户检索图书馆领域内的Deep Web信息,本文提出了一个Deep Web数据集成的系统结构,并依据这个系统结构对Deep Web数据集成中最为困难的"模式匹配"问题进行了深入的分析,提出了相应的模型和算法。这一算法和模型是设计与实现Deep Web馆藏图书集成查询系统的关键技术,对Deep Web数据集成有较大的应用价值。

In order to enable library users to search for information in the Deep Web conveniently, this paper presents a system architecture of data integration of the Deep Web. Based on the system architecture, the paper makes a deep analysis of the pattern matching problem, which is most difficult in data integration of the Deep Web, and also gives its corresponding model and algorithm. The model and algorithm are the key technology in designing and realizing the integrated search system of library＇ s Deep Web, and they can be aoDlied to the data integration of the Deed Web.