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논문검색

국가 융합 R&D 특성 분석에 관한 연구 : 텍스트분석을 중심으로

원문정보

Feature Analyze and Research of National Convergence R&D : With Focus on the Text Mining

유기철, 이태희, 최상현, 이정환

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

There is a growing interest in convergence. National R & D is also providing various policies and institutional support to promote convergence research. Convergence research, however, does not clearly specify its characteristics at the academic and government levels. This research proceeds with the process of collecting, refining, analyzing, modeling, verifying and visualizing national R & D data through the National Science and Technology Information Service (NTIS). The method is to derive the convergence research characteristics and to derive through text mining, focusing on the unstructured information of national R & D project data. The study confirmed that there was a difference in perception between the definition of converged research and the research site. In order to improve this, the research suggested that convergence among research subjects, collaboration among research topics reflecting various backgrounds and characteristics of researchers, and analysis of characteristics of convergence research using information were suggested in the process of establishing convergence policy.

목차

Abstract
1. 서론
2. 기존 연구
2.1 분석 보고서
2.2 연구 논문
3. 연구방법
4. 분석결과
4.1 융합 R&D 특성
4.2 텍스트 마이닝을 통한 융합 R&D 특성 분석
5. 결론
5.1 연구 요약
5.2 연구 의의 및 향후 연구
References

저자정보

  • 유기철 KiCheol Yoo. Masters Course, Chungbuk National University, Department of Management Information System
  • 이태희 TaeHee Lee. Undergraduate Course, Chungbuk National University, Department of Management Information System
  • 최상현 SangHyun Choi. Professor, Chungbuk National University, Department of Management Information System
  • 이정환 JungHwan Lee. Assistant Professor, Chungbuk National University, Department of Management Information System

참고문헌

자료제공 : 네이버학술정보

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