Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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A Study on the Improvement of the Defense-related International Patent Classification using Patent Mining

특허 마이닝을 이용한 국방관련 국제특허분류 개선 방안 연구

  • Kim, Kyung-Soo (Technology Evaluation Center, WIPS Co., Ltd.) ;
  • Cho, Nam-Wook (Dept. of Industrial Engineering, Seoul National University of Science and Technology)
  • 김경수 ((주)윕스 기술평가센터) ;
  • 조남욱 (서울과학기술대학교 산업공학과)
  • Received : 2022.02.10
  • Accepted : 2022.03.06
  • Published : 2022.03.31
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Abstract

Purpose: As most defense technologies are classified as confidential, the corresponding International Patent Classifications (IPCs) require special attention. Consequently, the list of defense-related IPCs has been managed by the government. This paper aims to evaluate the defense-related IPCs and propose a methodology to revalidate and improve the IPC classification scheme. Methods: The patents in military technology and their corresponding IPCs during 2009~2020 were utilized in this paper. Prior to the analysis, patents are divided into private and public sectors. Social network analysis was used to analyze the convergence structure and central defense technology, and association rule mining analysis was used to analyze the convergence pattern. Results: While the public sector was highly cohesive, the private sector was characterized by easy convergence between technologies. In addition, narrow convergence was observed in the public sector, and wide convergence was observed in the private sector. As a result of analyzing the core technologies of defense technology, defense-related IPC candidates were identified. Conclusion: This paper presents a comprehensive perspective on the structure of convergence of defense technology and the pattern of convergence. It is also significant because it proposed a method for revising defense-related IPCs. The results of this study are expected to be used as guidelines for preparing amendments to the government's defense-related IPC.

Keywords

Acknowledgement

이 논문은 2022년도 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임(P0017123, 2022년 산업혁신인재성장지원사업)

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