Forecasting Vacant Technology of Patent Analysis System using Self Organizing Map and Matrix Analysis

자기조직화 지도와 매트릭스분석을 이용한 특허분석시스템의 공백기술 예측

  • 전성해 (청주대학교 바이오정보통계학과) ;
  • 박상성 (고려대학교 정보경영공학부) ;
  • 신영근 (고려대학교 정보경영공학부) ;
  • 장동식 (고려대학교 정보경영공학부) ;
  • 정호석 (인포베이스)
  • Published : 2010.02.28


Patent analysis is the extracting knowledge which is needed for the company's research and development strategy through accumulated worldwide patent database. In order to set the future direction of corresponding technology which is scheduled to be developed, the technology trends and deployment processes are identified by analyzing results of present patent applications. The patent analysis provides the required results for analyzing present patent applications. In this paper, we will carry out technology classification for related patent analysis methods and systems. Moreover we will investigate and analyze related domestic patents, U.S. patents and IEEE papers. Due to the characteristics of technology sector, not only patents are applied but also research papers are released actively about patent analysis system. We will analyze patents according to the technology classification by using the final searching results which come from the selected search words in this study. To find necessary niche technology which is needed for patent analysis system, matrix analysis was performed to all of valid patents and papers. Identifying the technology development trends of registered patent analysis systems, and presenting the future direction of technology development which is related to patent analysis system. To figure out the technology which is developed relatively weak based on domestic patents, U.S patent and research papers by analyzing the valid patents and papers with statistical test and self-organizing map quantitatively. Then, presenting the necessity of this technology development.


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