最近几年，越来越多学者意识到单靠数据驱动的无监督聚类方法很难满足用户对富含语义信息的文本数据的处理需求。领域知识，如领域本体的人工或自动构建、百科全书Wikipedia的网上公布为文本处理带来了新的希望和美好的前景。本文主要阐述领域知识在文本聚类过程中的具体应用、研究现状和所面临的挑战。

Recently, more and more researchers realize that it is hard to satisfy the users’ needs of the datadriven unsupervised learning methods in text data analysis. Fortunately, the appearance of domain knowledge provides a bright future for this problem. Domain knowledge, at present, is usually represented as ontology hierarchy (built artificially) or encyclopedia (e.g., online Wikipedia). In this paper, we describe how the domain knowledge is used in processing text mining, review the related work,and point out the challenges in this research direction.