This paper identifies technology trends of national research and development (national R&D) by exploiting Korean national R&D patents, ranging from 2007 to 2010. In this paper, co-word analysis (CWA), which is a method to identify the relationship among technology terms by using their co-occurrences, is incorporated into network analysis to visualize the relationships among technology keywords of national R&D patents and calculate network indexes concerning inter-relationship diversity and strength of technology keywords. As a result, this research found that inter-relationship among technology keywords in national R&D are getting increasingly strengthening in an overall sense. In addition, the keyword inter-relationship diversity- strength map proposed in this paper revealed some significant technological keywords of national R&D : core technology keywords including “sensor”, “film” and “fuel” and emerging keywords including “biosensor” and “thermoelectric”. Because the proposed approach helps identify interdisciplinary trends of technology keywords from a massive volume of national R&D patents in a visual and quantitative way, we expect that the approach can be incorporated as a preliminary into the R&D planning process to assist R&D policy makers to understand technology convergence of national R&D and develop relevant R&D policies.
목차
Abstract 1. 서론 2. 관련 연구 3. 분석모형 3.1 국가 R&D 특허수집 3.2 키워드 추출 3.3 키워드 벡터 매트릭스 생성 3.4 키워드 유사도 매트릭스 생성 3.5 키워드 네트워크 생성 및 분석 4. 분석 결과 4.1 국가 R&D 기술키워드 네트워크의 시각화 4.2 국가 R&D 연구키워드의 중심성지표 분석 5. 결론 및 추후연구 참고문헌
키워드
National R&DCo-word AnalysisNetwork AnalysisPatent Analysis
저자
서원철 [ Wonchul Seo | 한국지식재산연구원 IP정책연구팀 부연구위원 ]
제1저자
박현석 [ Hyunseok Park | POSTECH 기술경영 대학원 박사과정 ]
공동저자