摘要
[目的/意义]科学与技术之间的密切关系,使得结合论文与专利进行技术机会分析比使用单一数据更加合理与高效。本文使科学技术关系的生成更自动化,减弱对主观判断的依赖,使技术颗粒更加精细,同时为技术研发人员提供研发建议,将科学研究中汲取的理念应用到相应的技术创新中去。[方法/过程]将论文、专利的摘要文本进行Doc2vec向量表示,通过文本相似性将其关联成网络,再基于Louvain算法生成科技主题聚类,识别科学研究推动的技术机会。最后以3D打印技术为案例进行实证研究。[结果/结论]识别出若干科学研究推动的技术机会,并验证所识别的机会具有一定的技术潜力,证明方法的可行性和有效性。
[Purpose/Significance]The close relationship between science and technology makes it more reasonable and efficient to analyze technology opportunities by combining papers and patents rather than using single data.This paper makes the generation of science-technology relationship more automatic,reduces the dependence on subjective judgment,and makes the technology units smaller.The purpose is to provide R&D suggestions for technology researchers,and help apply theories and ideas from scientific research to technological innovation.[Method/Process] The abstract texts of papers and patents were represented by Doc2vec vector,which were associated into a network through text similarity,and then science-technology clusters were generated based on Louvain algorithm to i-dentify technology opportunities promoted by scientific research.Finally,3D printing technology was taken as a case for empirical research.[Result/Conclusion] Several technology opportunities promoted by scientific research are identified,and it is verified that the identified opportunities have technological potential,which proves the feasibility and effectiveness of the method.
作者
韩晓彤
朱东华
汪雪锋
Han Xiaotong;Zhu Donghua;Wang Xuefeng(School of Management and Economics,Beijing Institute of Technology,Beijing 100081)
出处
《图书情报工作》
CSSCI
北大核心
2022年第10期19-32,共14页
Library and Information Service
基金
国家自然科学基金项目“生物医学领域潜在颠覆性技术识别方法研究”(项目编号:72074020)研究成果之一。