摘要
[研究目的]对颠覆性技术的发展和关联进行识别及预测,有助于及时开展技术布局,在产业竞争中形成战略优势。[研究方法]以技术专利摘要为数据对象,提出了融合SAO结构抽取、LDA主题分析和链路预测的技术关联机会发现路径,并以脑机接口为例对方法进行了验证。[研究结论]脑机接口在自身技术迭代、医疗健康领域、扩展应用领域及多模态集成控制系统领域具有广阔的关联机会,与论文、专利、课题、新闻报道等多源技术报告的对比评估说明了该路径的可行性和有效性。
[Research purpose]The identification and prediction of the development and relatedness of disruptive technologies is conducive to the timely development of technological layout and the formation of strategic advantages in industrial competition.[Research method]Taking technology patent abstracts as data object,a path of technology association opportunity discovery combining SAO structure extraction,LDA topic analysis and link prediction is proposed,and brain-computer interface(BCI)is used as an example to verify the method.[Research conclusion]BCI has broad relevance opportunities in its own technology iteration,medical and health fields,extended application fields and multi-modal integrated control system fields.The comparison and evaluation with multi-source technical reports such as papers,patents,projects and news reports demonstrate the feasibility and effectiveness of this path.
作者
金可怡
周立军
杨静
Jin Keyi;Zhou Lijun;Yang Jing(College of Economics and Management,China Jiliang University,Hangzhou 310018)
出处
《情报杂志》
北大核心
2024年第9期84-91,111,共9页
Journal of Intelligence
基金
国家社会科学基金项目“中国营商环境评价优化及助推创新发展的对策研究”(编号:20BGL016)
浙江省重点软科学研究项目“TOE视角下人工智能产业技术标准化多元驱动机制研究”(编号:2022C25005)研究成果。
关键词
颠覆性技术
技术识别
技术专利
专利文本
SAO结构
LDA主题模型
链路预测
脑机接口
disruptive technology
technology identification
technology patent
patent text
SAO structure
LDA model
link prediction
brain-computer interface(BCI)