医学文献集合的主题抽取和主题聚类实践

A Method for Topic Extraction and Clustering Based on Medical Literature

文献中的重要关键词能够反映其核心主题,因此对文献主题的发现和抽取问题就转化为对文献中的重要关键词集合的抽取.文章在调研了国外在主题抽取和聚类方面采用的技术方法的基础上,提出了在医学学科领域从文本信息资源中抽取主题并进行主题领域判断的技术方案,并详细阐述了其中的主题聚类的技术环节.为了验证该技术方案的有效性,文章以骨关节炎领域为例,对文中提出的技术方案进行实践验证.验证的结果表明文章提出的技术方案有着实际的有效性.该文为2008年第9期本期话题'知识抽取'的文章之一.

Important keywords in academic papers reflect topics of the literature. Therefore, the extraction of topics turns to be the extraction of keyword groups. This paper first investigates techniques for topic extraction and clustering used by overseas, then the researchers propose a technical scheme for extracting topics in text information resources in the medical field and for topic area identification. A detailed explanation of the techniques for topic clustering is given. To verify the validity of the method, this paper applies the scheme to the field of osteoarthritis research. The result proves the validity of the proposed method.