知识结构划分是确定研究主题、发现新兴研究领域和识别重点研究内容的一个重要方法。本文把从文献内容特征和文献链接信息融合的新知识结构划分方法的研究进行了梳理,从数据库扩展的原始级信息融合、文本挖掘和文献计量方法结合、词汇引用图和词参考文献共现4个层面对当前的知识结构融合方法进行了综述,分析了它们的主要研究内容和方法,并对目前知识结构划分的聚类方法进行了综合研究,以期从更加新的视角对知识结构划分研究提供新的研究思路。 The division of knowledge structure is an important method to determine the research topic, discover new research fields and identify key research contents. In this paper, the research on how to divide the structure of new knowledge from the literature content features and the literature link information is reviewed. From the original information fusion of database extension, text mining and document measurement, This paper summarizes the current methods of knowledge structure fusion, analyzes their main research contents and methods, and makes a comprehensive study on the current clustering methods of knowledge structure division, in the hope of providing a new perspective on knowledge structure classification New research ideas.