颠覆性技术产生过程的多源数据多特征项可视化研究

A Visualization Study for Understanding Disruptive Technology Evolution Based on Multi-Feature Co-Occurrence Network Analysis of Multi-Source Literature

[目的/意义]颠覆性技术创新是最高阶的创新,基于多源科技文献挖掘对颠覆性技术产生过程进行可视化研究,能够更好地为各层各级的关键技术识别、预测和研发提供支撑。[方法/过程]通过构建科学-技术相关多源科技文献所组成的多特征项共现分析方法体系模型,对多源科技文献中的多特征项关联关系进行系统分析;利用此理论分析方法,构建颠覆性技术产生过程中科学技术多特征项共现的理论研究方法体系,并建立颠覆性技术演化过程中关键技术节点因素的可视化模型。[结果/结论]本研究为有效地监测和识别颠覆性技术产业创新的演化路径和绘制颠覆性技术的产业技术发展路线图提供研究基础,为颠覆性技术演化路径识别监测分析方法提供多数据来源、多维度数据分析、多层次知识发现的理论方法体系。

[Purpose/Significance]Disruptive technological innovation is the highest level of innovation,and visualization study of the disruptive technology generation process can be implemented based on multi-source scientific and technological literature mining,which provides support for the identification,prediction and development of key technologies at all levels.[Method/Process]This paper constructed a multi-feature co-occurrence network analysis model of multi-source literatures,aimed at studying the correlation network of co-occurrence features which were exacted from the multi-source literatures related to science and technology.Based on the theoretical analysis model,a new research theory was established to explore the multi-feature co-occurrence network related to science and technology during the generation process of disruptive technology,and a visualization model was built to identify the key points in the evolution of disruptive technology.[Result/Conclusion]This study provides a research foundation for effectively monitoring and identifying the evolution path of disruptive technology innovation and drawing a road map for disruptive technology development,and also provides a new theoretical method system with multi data source,multi-dimension data analysis,and multi-level knowledge discovery for the identification and monitoring analysis method of the disruptive technology evolution path.