A Method of Knowledge Extraction for Response to Rapid Technological Change with Link Mining

  • Masashi ShibataEmail author
  • Masakazu Takahashi
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 96)


This paper proposes an efficient clustering method of technology fields for future technical trend prediction from the public information. The speed of product development is steadily improving due to the spreading of ICT as social infrastructure and the rapid progress of machine learning. However, in the process of finding a new solution to the problem, the developer’s capability is still an important. Referring to the problems and solutions to other technical fields with similar technology structure is one of the effective ways to find new solutions. However, selection of comparative fields often depends on the technical preferences and experience of developers. Thus, important signals might be overlooked. In this paper, we focus on the classification codes of patent for extracting the technology structure from the patent data. The link mining method is employed for visualizing the structure and extracting the feature. The structure is visualized as the graph of classification codes, and the feature is extracted as the features of the graph. From the result of the proposed method, we succeeded to reveal the cluster of the technology fields with similar technology structure.


Patent Patent analyses Graph mining Clustering Technological structure analyses 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Graduate School of Sciences and Technology for InnovationYamaguchi UniversityYamaguchiJapan

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