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Research on n-Ary Technology Opportunity Discovery Based on Hyperlink Prediction |
Chen Wenjie1,2, Qu Jiansheng1,2 |
1.National Science Library (Chengdu), Chinese Academy of Sciences, Chengdu 610299 2.Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190 |
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Abstract Exploring and analyzing technological opportunities in specific fields can provide new references and suggestions for the original innovation of enterprises from 0 to 1. This study proposes a multitechnology opportunity discovery method based on hyperlink prediction. First, based on the multiple co-occurrence relationships between technologies, a technology relationship hypernetwork was constructed, and node feature vectors were generated using International Patent Classification (IPC) reference information and text information. Then, the hyperlink prediction model Hyper-SAGNN was extended to the technology relationship hypernetwork to predict the possibility of future technology opportunities formed by the fusion of multiple technologies. Finally, based on features such as novelty, centrality, and cross-domain relevance, measurement indicators were constructed to identify potential and valuable diverse technological opportunities. Taking the field of intelligent question answering technology as an example, the scientificity and effectiveness of the method proposed in this study were verified, effectively mining high-value ternary and quaternary technological opportunities and providing decision support for the technological strategic layout and innovation strategy of enterprises.
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Received: 20 May 2024
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