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Journal of library and information science in agriculture ›› 2020, Vol. 32 ›› Issue (2): 58-70.doi: 10.13998/j.cnki.issn1002-1248.2019.11.20-1022

• Research paper • Previous Articles     Next Articles

The Characteristics and Impact of International Artificial Intelligence (AI) Patent Cooperation

CHANG Ruru1,3, ZHAO Rongying1,2,3, JIA Zengshuai1,3, ZHANG Zhaoyang1,3   

  1. 1. Research Center for Chinese Science Evaluation, Wuhan University, Wuhan 430072;
    2. Center for Studies of Information Resources, Wuhan University, Wuhan 430072;
    3. School of Information Management, Wuhan University, Wuhan 430072
  • Received:2019-11-20 Online:2020-02-05 Published:2020-02-25

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Abstract: [Purpose/Significance] In order to analyze the current situation of international cooperation and technology exchange in the field of artificial intelligence(AI), this study is carried out to provide references for China to take the lead in the layout of the artificial intelligence industry.[Method/Process]In this paper, the patents in the field of AI are taken as the research object, and the technology combination analysis method and social network analysis method are used to systematically analyze the patents. The characteristics of international cooperation in the field of AI are analyzed from three aspects: technology combination, cooperation network and cooperation influence.[Results/Conclusions]It is found that countries and regions all over the world are planning their business in AI subfields and applications, and have very similar technology distribution; there are close cooperation clusters among the countries participating in international cooperation; the comprehensive influence research of three dimensions shows that 66 international cooperation countries have formed six main cooperation types: strong, stable, marginal, conservative, monopoly and weak cooperation. At the end of this paper, some suggestions are put forward for China to enhance its international influence and accelerate the layout of AI.

Key words: AI, patent metrics, cooperation characteristics, impact, social network analysis

CLC Number: 

  • TP393
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