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데이터 기반 테크마이닝(tech-mining)을 통한 융합 R&D 영역 탐색: ICT 기반 산사태 예방 기술 사례를 중심으로
Exploring Convergence R & D area via Data-driven Tech mining: The case of landslide prevention technology linked to ICT
최재경 ( Jaekyung Choi ) , 서성호 ( Seongho Seo ) , 강종석 ( Jongseok Kang ) , 정현상 ( Hyunsang Chung )
UCI I410-ECN-0102-2021-500-000178504

Due to the high complexity and diversity of the problems of the future society, it is getting harder to solve with the traditional single technology. In recent years, there has been a growing interest in convergence technology, which combines or connects different types of technologies to create new technologies and industries. In this study, we explored the convergence R&D area of ICT technology related to landslide prevention/response. It is true that the world has been exposed to various disasters due to recent climate change. As a result, there is a tendency to use Big Data and ICT for disaster preparedness and recovery. Especially, in the case of landslides, it is a natural disaster that requires research not only to study actual landslides but also to predict potential landslides. Therefore, in this study, we analyzed what kind of convergence R&D is being carried out in the field of ICT for preventing and responding to landslide. Therefore, in this study, Web of Science article data were analyzed by using the scientometric analysis and 51 landslide-related ICT convergence R&D areas were derived.

1. 서 론
2. 데이터 및 연구 방법론
3. 산사태 ICT R&D 영역 도출 및 세부 융합기술 분석 결과
4. 결 론
Acknowledgement
참고문헌
[자료제공 : 네이버학술정보]
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