为有效利用现存文献资源，深度剖析和挖掘颠覆性技术的演化脉络与演化特征，为把握科学动向、提升科技竞争力提供支撑，在系统梳理颠覆性技术演化相关研究进展的基础上，融合Web of Science论文、德温特专利索引数据库专利和美国临床试验数据库临床试验等数据源，运用主题识别、深度学习、网络分析、可视化分析等技术，利用专利、论文文献的Word2Vec词向量模型构建结果和LDA主题识别结果，结合临床试验应用范围，研究干细胞治疗技术在“科学发现—技术创新—技术应用”生命周期中的演化脉络与演化特征。实验结果梳理得到干细胞治疗技术发展演化路线图，分为萌芽期、起步期、突变发展期和快速发展期4个阶段，并分别从数据表现、实证技术本身和颠覆性技术3个层面归纳技术发展的滞后性、复合性、突变性、扩张性等4个演化特征，与干细胞治疗技术发展的科学事实以及当前学界对其的基本认识均相符。

In order to effectively utilize existing literature resources, deeply analyze and explore the evolutionary context and characteristics of disruptive technologies, and provide support for grasping scientific trends and enhancing technological competitiveness, based on a systematic review of research progress related to the evolution of disruptive technologies, we integrate data sources such as Web of Science papers, Dewant patent index database patents, and clinical trials in the US clinical trial database, and use topic recognition, deep learning Network analysis, visualization analysis, and other technologies are utilized to construct Word2Vec word vector models and LDA topic recognition results from patents and paper literature. Combined with the scope of clinical trial applications, the evolution and characteristics of stem cell therapy technology in the "scientific discovery technological innovation technological application" lifecycle are studied. The experimental results have summarized the development and evolution roadmap of stem cell therapy technology, which is divided into four stages: embryonic stage, initial stage, mutation development stage, and rapid development stage. The four evolution characteristics of technology development are summarized from three levels: data performance, empirical technology itself, and disruptive technology, including lag, recombination, mutation, and expansion, It is consistent with the scientific facts of the development of stem cell therapy technology and the current basic understanding of it in the academic community.

G350

国家社会科学基金项目“多源数据融合驱动的智慧情报感知研究”（21BTQ071）