인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.6
- 수록면
- 211 - 221 (11page)
- DOI
- 10.7232/JKIIE.2020.46.3.211
이용수
초록· 키워드
Since the 21st century, the ICT industry has contributed to the growth and sophistication of other industries as a driving force for the growth of the world economy, and has pioneered new technologies and industries by fusing with other technologies. Recently, ICT technology is facing a major change, such as rapid development of artificial intelligence related technology and commercialization of 5G low latency mobile communication technology, and the integration trend of ICT technology is also changing every moment. Research that analyzes convergence trends between technologies in a quantitative manner has mainly been focused on patent analysis. In particular, network analysis using patent bibliographic information to derive trends and at the patent keyword level are typical. This research also analyzes convergence trends at the level of patent keywords, but focuses on how the detailed topics of convergence technologies and the relationship between the topics change from a time-series perspective. For this purpose, we selected agricultural technology, which is one of the next-generation core technology fields, selected the integration with ICT-Agritech technology as a case study subject, and applied the dynamic topic modeling method of LDA-based analysis method. We tried to grasp the convergence trend by combining network analysis with the time-series change of topic keywords. Research from a theoretical perspective is expected to contribute to explain the changes in ICT-Agritech technology convergence since the Fourth Industrial Revolution. In terms of methodology, it is expected to present an approach that can support strategy development of convergence technologies by combining network analysis with the dynamic topic modeling method, which is an LDA-based methodology considering time series.
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
목차
- 1. 서론
- 2. 이론적 배경
- 3. 연구절차
- 4. 사례연구
- 5. 결론
- 참고문헌
참고문헌
참고문헌 신청최근 본 자료
UCI(KEPA) : I410-ECN-0101-2020-530-000679484
