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Analysis of Artificial Intelligence's Technology Innovation and Diffusion Pattern: Focusing on USPTO Patent Data
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인공지능의 기술 혁신 및 확산 패턴 분석: USPTO 특허 데이터를 중심으로

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Type
Academic journal
Author
Seoin Baek (과학기술정책연구원) Hyunjin Lee (한국과학기술원) Heetae Kim (한국기계연구원)
Journal
The Korea Contents Society JOURNAL OF THE KOREA CONTENTS ASSOCIATION Vol.20 No.4 KCI Accredited Journals
Published
2020.4
Pages
86 - 98 (13page)

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Analysis of Artificial Intelligence's Technology Innovation and Diffusion Pattern: Focusing on USPTO Patent Data
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Abstract· Keywords

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The artificial intelligence (AI) is a technology that will lead the future connective and intelligent era by combining with almost all industries in manufacturing and service industry. Although Korea is one of the world"s leading artificial intelligence group with the United States, Japan, and Germany, but its competitiveness in terms of artificial intelligence patent is relatively low compared to others. Therefore, it is necessary to carry out quantitative analysis of artificial intelligence patents in various aspects in order to examine national competitiveness, major industries and future development directions in artificial intelligence technology. In this study, we use the IPC technology classification code to estimate the overall life cycle and the speed of development of the artificial intelligence technology. We collected patents related to artificial intelligence from 2008 to 2018, and analyze patent trends through one-dimensional statistical analysis, two-dimensional statistical analysis and network analysis. We expect that the technological trends of the artificial intelligence industry discovered from this study will be exploited to the strategies of the artificial intelligence technology and the policy making of the government.
#인공지능 #기술 혁신 #기술 확산 #특허 통계분석 #지식 네트워크 #Artificial Intelligence #Technology Innovation #Technology Diffusion #Patent Analysis #Knowledge Network

Contents

요약
Abstract
I. 서론
Ⅱ. 선행연구 고찰
Ⅲ. 데이터 수집 및 연구방법론
Ⅳ. 연구결과
Ⅴ. 결론 및 향후 연구 방향
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References (36)

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과학기술정보통신부 / 2019 / 2019년 업무계획 google schola 이병기 / 2017 / 인공지능기술의 특허 경쟁력과 기술 google schola 양희태 / 2019 / 인공지능 기술 전망과 혁신정책 방향 - 국가 인공지능 R&D 정책 개선방안을 중심으로 google schola China Institute for Science and Technology Policy at Tsinghua University / 2018 / China AI development report google schola 한국정보화진흥원 / 2019 / 2019년 NIA AI Index-우리나라 인공지능(AI)수준 조사 google schola

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