首页|基于SAO结构的颠覆性技术关联机会发现路径研究

基于SAO结构的颠覆性技术关联机会发现路径研究

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[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 on the Path of Opportunity Discovery of Disruptive Technologies Based on SAO Structure
[Research purpose]The identification and prediction of the development and relatedness of disruptive technologies is condu-cive 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 struc-ture 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,ex-tended application fields and multi-modal integrated control system fields.The comparison and evaluation with multi-source technical re-ports such as papers,patents,projects and news reports demonstrate the feasibility and effectiveness of this path.

disruptive technologytechnology identificationtechnology patentpatent textSAO structureLDA modellink predic-tionbrain-computer interface(BCI)

金可怡、周立军、杨静

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中国计量大学经济与管理学院 杭州 310018

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

国家社会科学基金项目浙江省重点软科学研究项目

20BGL0162022C25005

2024

情报杂志
陕西省科学技术信息研究所

情报杂志

CSTPCDCSSCICHSSCD北大核心
影响因子:1.502
ISSN:1002-1965
年,卷(期):2024.43(9)
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