Li, X., Xie, Q., Huang, L., et al. (2018) Research on the Evolution Trajectory of Emerging Technologies Based on SAO Structural Semantic Mining. Science of Science and Management of Science and Technology, 39, 17-31.

has been cited by the following article:

• TITLE: Technology Foresight Research of Industrial Robot Based on Patent Analysis

  AUTHORS: Xionghui Wen

  KEYWORDS: Technology Foresight, Patent Mining, SAO, Knowledge Map, Industrial Robot

  JOURNAL NAME: Journal of Data Analysis and Information Processing, Vol.7 No.2, May 27, 2019

  ABSTRACT: In view of the lack of patent big data in research on technology foresight in the industrial robot field, this paper introduces an improved method based on patent mining and knowledge map. Firstly, SAO structure is extracted from selected patents, secondly, the similarity between patents is calculated based on extracted SAO structure, thirdly, patent network and patent map are drawn based on calculated patent similarity matrix, technology evolution process and future trends of industrial robot are summarized from patent network, and future potential technology opportunities are predicted based on technological vacancies identified from patent map. Finally, this paper identifies six key technical areas and four potential technical opportunities in the field of the industrial robot.