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专利技术创新路径识别及其新颖性评价研究 被引量:22

Research on the Path of Patent Innovation Technology Opportunities and Their Evaluation
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摘要 在海量专利信息中精准识别技术创新机会,是降低企业创新风险的关键举措,故本文依托多维技术创新图谱构建了技术创新机会识别路径:首先,运用LDA(latent Dirichlet allocation)主题模型从海量专利文献中提取技术要素和技术主题;其次,运用多维技术创新图谱对技术创新要素导航和归类,进而与多个创新法则耦合探究多个潜在技术创新路径;再次,运用TextRank-IDF新颖性评价指标对前述创新机会进行了新颖性排序,以识别具有较高创新价值的创新路径;最后,以潜水电机的技术创新为例,验证了该技术创新机会识别路径的有效性。研究结果表明,本文构建的海量专利信息下的技术创新路径,能够为企业科学选择创新方案、不断提升创新效率提供有益的参考。 Accurately identifying innovation technology opportunities in massive patent information is a key measure to reduce corporate innovation risk. This study relies on the multidimensional map of technology innovation to build a path for identifying innovation technology opportunities. First, we use the Latent Dirichlet Allocation(LDA) algorithm to extract technical elements and topics from many patent documents. Second, we navigate and classify technical innovation elements combined with the multidimensional map of technology innovation, and then explore multiple potential technological innovation paths and multiple innovation rules. Third, the Text Rank-IDF novelty evaluation index is proposed to sort the innovation opportunities to identify innovation paths with a higher value. Finally, the technical innovation of submersible motors is considered as an example to verify the technology opportunity discovery path’ s effectiveness. The results show that the technological innovation path under the massive patent information constructed in this study can provide a useful reference for companies to choose innovation schemes and continuously improve innovation efficiency scientifically.
作者 冯立杰 尤鸿宇 王金凤 Feng Lijie;You Hongyu;Wang Jinfeng(School of Management Engineering,Zhengzhou University,Zhengzhou 450001;School of Economics&Management,Shanghai Maritime University,Shanghai 201306)
出处 《情报学报》 CSSCI CSCD 北大核心 2021年第5期513-522,共10页 Journal of the China Society for Scientific and Technical Information
基金 国家自然科学基金项目“基于多维空间专利地图的煤层气开采创新路径研究”(71472171) 国家科技部创新方法工作专项“面向企业的颠覆式创新方法与工具研究及其应用”(2016IM010400),“中国情境下的创新方法研究与工具开发”(2018IM020300)。
关键词 技术创新机会识别 LDA主题模型 技术创新机会评价 多维技术创新图谱 innovation technology opportunity discovery LDA innovation technology opportunity evaluation multidimensional map of technology innovation
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