借鉴本体和知网思想，构建银行领域本体库和银行知网。

With the elicitation of ontology and Hownet, a bank ontology database and bank Hownet are built up.

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然后将这些特征项与领域本体库中存储的领域特征项进行匹配，从而得到文本的类别。

Then the feature item Matches with the Feature-Database, Thus obtains the document's category. This paper designs two kinds of categorization methods.

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文章首先构造了自动答疑系统架构，改进了中文分词算法，并利用领域本体库和语句相似度设计了该系统。

In this paper, we first construct the system architecture, improve the Chinese text segmentation algorithm, then, by making use of domain ontology base and sentence similarity, design the system.

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