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| 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 |
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Abstract To improve the accuracy of identifying potential technology opportunities from scientific research, this study proposes a framework for identifying science-technology linkages that integrates semantic analysis and topological modelling. Combining the methods of BERTopic topic modelling, explicit co-occurrence and implicit link prediction, we construct multidimensional science-technology correlation indicators, and adopt the TOPSIS-CRITIC model to assess the innovativeness of scientific topics and the constraints of technological development, so as to identify technological directions with high development potential. Using high-temperature superconductivity as a case study, empirical analysis identifies six potential technology opportunities with strong consistency in frontier development trends in the field of high-temperature superconductivity, which verifies the validity and foresight of the methodology. The study innovatively proposes a term-level link prediction method to address the terminology gap, and explores a pathway for identifying promising technological opportunities by integrating semantic and structural features.
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Received: 26 May 2025
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