[2N1-GS-10] AI application

[2N1-GS-10-04] New Intellectual Property Management Method Aiming at Expanding Technology Applications and Secondary Development

〇Meiyun Wang¹, Hiroki Sakaji¹, Hiroaki Higashitani², Mitsuhiro Iwadare², Kiyoshi Izumi¹ (1. School of Engineering, The University of Tokyo, 2. Honda R&D Co.,Ltd.)

Keywords:IP Management , Knowledge Retrieval, Causal Chain

In this study, we propose a new approach to intellectual property management to enhance knowledge discovery by combining causal extraction and similarity analysis. Existing research is limited to mining patent text data and predicting technology trends in the same field. Our proposed method can broaden the potential application of technology in multiple areas and enable the secondary development of the intellectual property. Specifically, we implement an approach to extract information from patent text data in various domains. Then, patent text analysis is performed using a pre-trained language model to compare information, and ultimately a causal chain for knowledge discovery is constructed. Data based on expert evaluation demonstrates that our method is more robust than existing deep learning methods.