수소연료전지 특허 동향 분석: 지식 지속성 기반 주경로 분석 및 텍스트 마이닝 방법 활용

Hydrogen Fuel Cell Patent Analysis: Using Knowledge Persistence-based Main Path Analysis and Text Mining

초록

This paper analyzed a patent trend for technological domain of hydrogen fuel cell, can improve future energy and pollution problems. Patent analysis is used in establishing a technological roadmap which it can discover the current technology capability and future technological development direction. However, the previous patent analysis is qualitative analysis and simple statistical analysis. The reason why it incorrectly analysis patent does not reflect the current technology environment. The current technology environment is development through recombination of technologies. In addition to, the speed of technological development is rapidly growing. So, qualitative analysis does not satisfy the analysis requirements of the times. This paper utilized KP(Knowledge Persistence)-based main path analysis and text mining methods to reflect the current technological environment. As a result, we found core patents, main technology development, and promising technologies for technological domain of the hydrogen fuel cell.

키워드

지식 경영지식 지속성주경로분석텍스트 마이닝수소연료전지Knowledge managementKnowledge persistenceMain path analysisTextminingHydrogen fuel cell
제목
수소연료전지 특허 동향 분석: 지식 지속성 기반 주경로 분석 및 텍스트 마이닝 방법 활용
제목 (타언어)
Hydrogen Fuel Cell Patent Analysis: Using Knowledge Persistence-based Main Path Analysis and Text Mining
저자
윤세준박현석
DOI
10.15813/kmr.2023.24.1.006
발행일
2023-03
저널명
지식경영연구
24
1
페이지
127 ~ 145

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