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[目的 /意义]探索从科技论文中挖掘出作者研究思路的可能性和技术手段,从而高效地获得新的研究创意。[方法 /过程]提出一种从单篇科技论文中抽取概念地图的方法,通过构建其微观概念地图(MCM)来形象地描述作者在研究中重视并运用的知识结构,通过对概念及其关系的定量分析来推测作者的研究重点和创新思路。[结果 /结论]选取一篇发表在2014年Science期刊上的关于聚类方法的论文,展示其MCM的抽取及论文研究思路的挖掘过程,验证所提方法的有效性。
[Purpose / Significance] Explore the possibility and technical means of digging out the author’s research ideas from the scientific papers so as to obtain new research ideas efficiently. [Methods / Processes] This paper presents a method of extracting concept maps from a single scientific paper. By constructing its microscopic concept map (MCM), the author describes the knowledge structure that the author attaches importance to and uses in the research. By analyzing the concepts and their relations Quantitative analysis to speculate the author’s research focus and innovative ideas. [Results / Conclusion] A paper on the clustering method published in the Science Journal of 2014 was selected to demonstrate the extraction process of the MCM and the research thought of the paper, and verify the effectiveness of the proposed method.