在以往博客文本分类研究的基础上,提出一种综合利用本体论和Folksonomy的优势,进行二级分类的中文博客自动分类法,并构建其模型。然后在分类算法的基础上结合用户使用博客的兴趣来对博客分类进行应用性研究。最终得出结论,此研究有助于提高博文分类的精准度,方便基于分类标签的信息检索和信息共享。 Based on the previous research on blog text categorization, this paper proposes an automatic Chinese blog classification method that makes use of the advantages of ontology and Folksonomy, and constructs its model. Then based on the classification algorithm, we combine the user’s interest in the blog to apply the blog classification. Finally, the conclusion is drawn that this research can help to improve the accuracy of Bowen classification and facilitate the information retrieval and information sharing based on classification label.