新兴研究主题识别可为研究者提供选题方向,把握技术未来前景。传统基于关键词的主题识别,不能准确反映主题词之间的逻辑关系,因而对研究主题的揭示需要依据专家的判断。本文提出的基于突现文献和SAO相似度的新兴研究主题识别,在确定了具有新兴特征的文献后,通过对文献摘要的语义关联分析,揭示了文献研究内容的相似性,从而更准确地提炼出研究主题。文章最后以精密单点定位技术为例对所提出方法进行了实证分析。
The identification of emerging topics contributes to provide the directions and grasp the future prospects of technology for the researchers. The traditional method based on the keywords can't accurately reflect the logical relationship between keywords,so it needs the expert's judgment to reveal the research topic. In this paper,we propose the identification of emerging research topics based on burst articles and the similarity of Subject- Action- Object structures. We expose the similarity of literature research content according to the semantic association analysis after determined the emerging literature,and thus more accurately refine the research topic.Finally,we used "precise point positioning"as an example to make an empirical analysis.