Technology Opportunity Identification Based on Technology Correlation—Taking the Field of High-Temperature Superconductivity as an Example
Zhu Xiangli1,2, Li Qianzhi1,2, Liu Xiaoping1,2
1.National Science Library, Chinese Academy of Sciences, Beijing 100190 2.Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
摘要为提升从科学研究中识别潜在技术机会的精准性，本文提出一种融合语义分析与拓扑建模的科学-技术关联识别框架。结合BERTopic（bidirectional encoder representations from transformers topic modeling）主题建模、显式共词与隐式链路预测等方法，构建多维度科学-技术关联指标，采用TOPSIS-CRITIC（technique for order preference by similarity to ideal solution - criteria importance through intercriteria correlation）模型评估科学主题的创新性与技术发展的制约因素，从而识别出具有高发展潜力的技术方向。以高温超导领域为案例开展实证分析，识别出6个有发展潜力的技术机会，与领域前沿发展方向具有良好的一致性，验证了该方法的有效性与前瞻性。本文的创新点在于提出术语级链路预测方法解决科技术语隔阂问题，探索了融合语义与结构特征识别有发展潜力的技术机会的路径。
朱相丽, 李芊芷, 刘小平. 基于科学-技术关联的技术机会识别——以高温超导领域为例[J]. 情报学报, 2026, 45(2): 230-242.
Zhu Xiangli, Li Qianzhi, Liu Xiaoping. Technology Opportunity Identification Based on Technology Correlation—Taking the Field of High-Temperature Superconductivity as an Example. 情报学报, 2026, 45(2): 230-242.
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