摘要
[目的/意义]高价值专利是推动科技创新、实现高质量发展的重要载体,识别高价值专利并从多维度挖掘技术演化特征,对于发现技术创新要素与创新规律,助力科技创新战略与政策的制定均具重要意义。[方法/过程]以“脑机接口”领域的专利文献为例,从技术价值、专利权利和市场前景3个方面设计专利价值评估指标体系以识别出高价值专利,进而基于CasRel知识抽取模型构建高价值专利知识图谱,在此基础上从技术主题、本质、应用领域、方法、解决问题等维度分析技术创新演化的态势。[结果/结论]研究发现,基于知识图谱的高价值专利技术创新演化分析方法视角更加多元、分析层次更加深入,能够为技术研发者、科技政策或战略制定者实施进一步的创新提供更具体的参考。
[Purpose/Significance]High-value patents are important carriers of scientific and technological innovation.Identifying high-value patents and mining technological evolution characteristics from multiple dimensions are of great significance for discovering technological innovation elements and innovation laws.[Method/Process]Taking the patent literature in the field of“brain-computer interface”as an example,this study designed a patent value evaluation indicator system from three aspects of technical value,patent rights and market prospects,and then built a high-value patent knowledge graph.On this basis,this study analyzed the evolution of technological innovation from the dimensions of essence,application field,method,etc.[Result/Conclusion]This study finds that the evolution analysis method of high-value patent technology innovation based on knowledge graph has more diverse perspectives and deeper analysis levels,which can provide more specific reference for technology developers,technology policy and strategy makers to implement further innovation.
作者
曹茹烨
曹树金
Cao Ruye;Cao Shujin(School of Information Management,Sun Yat-Sen University,Guangzhou 510006,China;School of Information Management,Shandong University of Technology,Zibo 255000,China)
出处
《现代情报》
CSSCI
北大核心
2024年第6期3-17,共15页
Journal of Modern Information
关键词
高价值专利
技术创新演化
知识图谱
脑机接口
high-value patents
evolution of technological innovation
knowledge graph
brain-computer interface
