基于引文内容挖掘的科技创新路径识别方法与开源工具研究

Research on Technology Innovation Path Recognition Method and Open Source Tool Based on Citation Content Mining

[目的/意义]分析科技创新路径识别研究中用到的主要研究方法与开源工具,提出利用引文内容挖掘实现科技创新路径识别方法及开源工具。[方法/过程]首先,基于引文分析、结构洞分析、凝聚子群分析、文本内容挖掘、引文内容挖掘等不同角度分析了科技创新路径识别的主要方法;其次,从数据源、文本格式、挖掘内容、处理能力等方面阐述了用于实现引文内容挖掘的科技创新路径识别的3个开源工具:Mallet、Knime、NLTK;最后,分析了实现科技创新路径可视化的5个开源工具:Pajek、Ucinet、Gephi、D3.js、VOSViewer。[结果/结论]通过研究发现,利用开源工具深入挖掘引文内容中蕴含的丰富语义信息,识别不同引用动机,进而进行可视化展示可以有效的实现科技创新路径表达。

[Purpose/Significance] The main research methods and open source tools used in path recognition research of scientific and technological innovation are analyzed. [Method/Process] Firstly,from different angles of citation analysis,structure analysis,hole subgroup analysis,text mining,content mining based on Citation Method of science and technology innovation path recognition analysis; secondly,for the 3 open source tools of technological innovation path to realize the recognition of citation content mining from the data source,and text format mining content,processing capacity and other aspects： Mallet,Knime,NLTK; finally,it analyzed the realization of the 5 open source tool path visualization technology innovation： Pajek,Ucinet,Gephi,D3. js,VOSViewer. [Result/Conclusion] through research,it is found that using open source tools to mining rich semantic information contained in citation contents,identify different citation motivations and visualize display can effectively achieve the expression of innovation path.