本文采用数据挖掘技术和情报语言学方法 ,构建了一个可以用于从因特网上提取信息、进行自动标引和自动分类的系统 ,提供了一种创建自动分类知识库的新方法 ;提出了一种用于主题抽取的位置加权算法 ,研制了一种改进汉语同义词识别性能的新方法 ,并在自动分类时运用了这种语义相似度识别算法。最后还对该系统性能进行了测试 In this paper, a data mining technology and information linguistics method to build a system that can be used to extract information from the Internet for automatic indexing and automatic classification, provides a new method to create automatic classification of knowledge base; proposed a A new algorithm for improving the performance of Chinese synonym recognition has been developed for the topic-based location weighting algorithm. This algorithm has been applied to the automatic classification of semantic similarity. Finally, the system performance has been tested