This paper analyzes the tunnel problem during the best-first search strategy, designs and realizes an ontology based theme crawler system.

分析了最好优先搜索策略中遇到的隧道问题，设计并实现了一种基于本体的主题爬虫系统。

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The experiments verified efficiency of web crawling and accuracy of pages classification. Additionally, we describe an incremental update crawler system in Deep Web.

并通过实验证明，该方法具有网页抓取的高效性以及页面分类的准确性。

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Then a topic crawler system was designed and implemented, employing topic sensitive Hyperlink-Induced Topic Search (HITS) to predict the priority of fetched Web pages.

在此基础上设计并实现了一个主题爬虫系统，该系统利用主题敏感HITS来计算网页优先级。

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