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| Research on Mining Patent Layout Intention Based on Graph Embedding from the Perspective of Industrial Chain |
| Zhai Dongsheng, Kan Huimin, Li Mengyang, Xu Shuo, Chen Mengmeng |
| School of Economics and Management, Beijing University of Technology, Beijing 100124 |
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Abstract In the background of the knowledge economy, technological competition among countries is becoming increasingly fierce. However, there are cognitive and operational weaknesses in China's patent layout, which restrict the development of China's high-tech industry. Therefore, it is of great significance to propose a set of effective patent layout analysis methods to guide enterprises in further implementing such layouts. Currently, the analysis perspective of patent layouts is limited to the enterprise level, and the traditional layout analysis methods cannot directly show the technological attack-and-defense intention between enterprises. Based on the description of patent distribution structure of the industrial chain, this study summarizes the basic patent distribution pattern and its layout intention to realize its mining from the perspective of the industrial chain. This study first modified the organizational structure of patent knowledge by introducing the structural and functional associations at the micro level, and the domain patent knowledge map was then constructed according to the revised Patent Knowledge Map ontology. Next, we used a graph embedding algorithm to describe the patent distribution structure of the industry chain. We then summarized five basic patent distribution patterns and analyzed their layout intention, based on which we mined the layout intention of each layout subject in the industrial chain. Finally, through empirical research in the field of non-perfluorinated proton exchange membrane, we verified the effectiveness and practicability of the above method, and provided suggestions for the safe development of China's non-perfluorinated proton exchange membrane industry.
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Received: 06 May 2021
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