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Technology Convergence Map Creation and Country Profile Analysis in the Field of Artificial Intelligence

인공지능 분야의 기술융합맵 생성 및 국가 프로파일 분석

  • 김현우 (한국과학기술정보연구원) ;
  • 노경란 (한국과학기술정보연구원 과학계량연구실) ;
  • 안세정 (한국과학기술정보연구원) ;
  • 권오진 (한국과학기술정보연구원)
  • Received : 2016.10.26
  • Accepted : 2017.02.24
  • Published : 2017.02.28

Abstract

The interest about Artificial Intelligence through the AlphaGo Match in Korea has been increasing rapidly. So far, very little has been done in Artificial Intelligence. The aim of this paper is to reveal technology convergence and to assess the country profile in the field of artificial intelligence(AI). Technology convergence map was created after extracting USPTO patent grants and Web of Science data and generating matrics in the field of AI. Several Indicators were obtained by extracting and calculating SCOPUS Data that KISTI has. According to USPTO patent grants, it shows that AI technology has a strong relationship with several sectors such as cost/price determination, image analysis, and surgery, etc. Also, AI has a active convergence with some fields of Electrical and Electronic Engineering, BioTechnologies, and Medicine etc. According to country profile analysis, Korea reaches a global average growth index. However, in terms of specialization index (SI) and average of relative citations (ARC), there is a large gap between Korea and research leading countries.

알파고로 촉발된 인공지능에 대한 국민의 관심이 고조되고 있다. 아직 국내에는 인공지능 분야에 대한 기술융합 맵 및 국가 프로파일에 대한 연구가 미진한 실정이다. 본 연구는 특허와 논문을 통해 인공지능 분야의 기술융합 현상을 밝히고, 인공지능 분야의 국가 프로파일을 분석하고자 하였다. 특허와 논문에서 인공지능 분야 데이터를 추출한 후 기술융합 맵을 작성하였다. KISTI가 보유한 SCOPUS 데이터를 이용해 국가 프로파일 분석에 필요한 지표를 구했다. 기술적 측면에서 인공지능 분야의 기술은 금융가격결정, 이미지분석, 수술 등 분야와 기술융합이 활발하게 나타났다. 학문적 측면에서 보면 인공지능 분야는 컴퓨터 과학 하위 분야에서 주로 연구되고 있지만 전기전자공학, 바이오 공학, 의학 등 분야와 융합이 활발하게 나타났다. 우리나라는 인공지능 분야에 대한 연구 성장도가 세계 평균인 것으로 나타났으며, 국가집중도, 영향력 등 측면에서는 주요국과 격차가 큰 것으로 나타났다.

Keywords

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