DOI QR코드

DOI QR Code

Analysis of major research trends in artificial intelligence through analysis of thesis data

논문데이터 분석을 통한 인공지능 분야 주요 연구 동향 분석

  • Chung, Myoung-Sug (New industry convergence technology R&D center, Ajou university) ;
  • Park, Seong-Hyeon (New industry convergence technology R&D center, Ajou university) ;
  • Chae, Byeong-Hoon (New industry convergence technology R&D center, Ajou university) ;
  • Lee, Joo-Yeoun (New industry convergence technology R&D center, Ajou university)
  • 정명석 (아주대학교 신산업융합기술연구센터) ;
  • 박성현 (아주대학교 신산업융합기술연구센터) ;
  • 채병훈 (아주대학교 신산업융합기술연구센터) ;
  • 이주연 (아주대학교 신산업융합기술연구센터)
  • Received : 2017.03.27
  • Accepted : 2017.05.20
  • Published : 2017.05.28

Abstract

In this paper, we collected the articles related to artificial intelligence among SCI(E) journals published by Korean authors in 'Web of Science' and conducted frequency analysis and keyword network analysis. As a result of the analysis, the artificial intelligence thesis showed an average growth of about 10% per year, but the relative ratio decreased. As time went on, we could confirm that there is a lot of practical and applied research in artificial intelligence research. Unlike the US 'National Strategy for Artificial Intelligence Research and Development,' the field of research in Korea was focused on local and technical aspects. Therefore, Korea should go beyond the theoretical and technical iterations of artificial intelligence, and research should be carried out to present a comprehensive future direction.

인공지능 관련 기술이 미래 핵심 기술로 떠오르면서 많은 투자가 이뤄지고 있지만, 우리나라는 부족한 투자규모로 기술 발전에 한계가 존재한다. 따라서 선진국을 빠르게 추격하기 위한 중장기 기술개발 로드맵 수립이 필요하다. 이에 본 논문에서는 'Web of Science'에서 한국인 저자가 게재한 SCI(E)저널의 논문 중 인공지능 관련 논문을 수집하여 빈도분석과 키워드 네트워크 분석을 진행하였다. 분석 결과 인공지능 분야 논문은 매년 약 10%의 평균적인 성장세를 보였지만 상대적인 비율은 감소하였다. 매년 'Neural Network'관련 연구가 많은 수를 나타냈지만, 시간의 흐름에 따라 인공지능 관련 연구는 이론적 연구에서 실용 응용적 연구가 많아지는 것을 확인할 수 있었다. 우리나라의 연구 분야는 국소적이며 기술적인 부분에 대한 연구 위주로 진행되었다. 따라서 우리나라는 인공지능에 대해 이론 기술적 반복수행에서 벗어나 총체적이고 포괄적인 미래 방향을 제시하기 위한 연구가 진행되어야 할 것이다.

Keywords

References

  1. Ma-Byong Yoon, Jong-Hak Lee, Je-Eun Baek, “Topophilia Convergence Science Education for Enhancing Learning Capabilities in the Age of Artificial Intelligence Based on the Case of Challenge Match Lee Sedol and AlphaGo,” Journal of the Korea Convergence Society, Vol. 7, No. 4, pp. 123-131, 2016. https://doi.org/10.15207/JKCS.2016.7.4.123
  2. D. W. Kim and B. J. Kim, “ How AlphaGo does Change People’s Perception of Introduction of Artificial Intelligence into Intellectual Work,” Journal of Cybercommunication Academic Society, Vol. 33, No. 4, pp. 107-158, 2016.
  3. Bentar Priyopradono, Danny Manongga, Wiranto Herry Utomo, "Spatial Social Network Analysis: Program Pengembangan Usaha Agribisnis Perdesaan (PUAP) or an Exertion Development Program in Supporting the Region Revitalization Development," http://file.scirp.org/Html/3-2680018_30802.htm, Social Networking, Vol. 2, No. 2, pp. 63-76, 2013 https://doi.org/10.4236/sn.2013.22008
  4. J. H. Na, "The Development of Artificial Intelligence and the Future of Employment," FUTURE HORIZON, (28), pp. 14-17. 2016.
  5. Yujia Zhai, “Stable Tracking Control to a Non-linear Process Via Neural Network Model,” Journal of the Korea Convergence Society, Vol. 5, No. 4, pp. 163-169, 2014. https://doi.org/10.15207/JKCS.2014.5.4.163
  6. Hyukro Park, "Systran International," Communications of the Korean Institute of Information Scientists and Engineers Vol. 33, No, 10, pp. 53-54, 2015.
  7. S. G. Han, "Main contents of American Artificial Intelligence Report," KISA Report, Vol. 11, pp. 3-8, 2016.
  8. You-Dong Yun, Yeong-Wook Yang, Heui-Seok Lim, “A SNS Data-driven Comparative Analysis on Changes of Attitudes toward Artificial Intelligence,” Journal of Digital Convergence, Vol. 14, No. 12, pp. 173-182, 2016. https://doi.org/10.14400/JDC.2016.14.12.173
  9. Hyundai Research Institute, Vol. 646 No. 0, pp. 1-14, 2016.
  10. J. C. Ko, G. T. Jo, Y. H. Jo, “A Study on Recent Research Trend in Management of Technology Using Keywords Network Analysis,” Journal of Intelligence and Information Systems, Vol. 19, No. 2, pp. 101-123, 2013. https://doi.org/10.13088/jiis.2013.19.2.101
  11. Y. G. Kwon, “Understanding of Structural Changes of Keyword Networks in the Computer Engineering Field,” Korea Information Processing Society Review, Vol. 2, No. 3, pp. 187-194, 2013.
  12. B. H. Hyun, "Biological research trend analysis and future promising research theme, Biotech Poicy Research Center," 2011.
  13. K. H. Kim and Y. J. Nam, “A Study on the Research Trends of Records and Archives Management in Korea through an Analysis of Journal Articles,” Journal of Korean Society for Library and Information Science, Vol. 43, No. 4, pp. 217-239, 2009. https://doi.org/10.4275/KSLIS.2009.43.4.217
  14. Jong-Ho Lee "Research on Trend of Solar-Photovoltaic(PV) Technology Using Papers and Patents Data : Using LDA Algorithm," Master's degree, Ajou University, 2017.02.
  15. Ja-Wook Gu, Jong-Ho Lee, Myoung-Sug Chung and Joo-yeoun Lee, “Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data,” Journal of Digital Convergence, Vol. 15, No. 2, pp. 165-172, 2017. https://doi.org/10.14400/JDC.2017.15.2.165
  16. J. H. Choi, H. S. Kim, N. G. Im, “Keyword Network Analysis for Technology Forecasting,” Journal of Intelligence and Information Systems, Vol. 17, No. 4, pp. 227-249, 2011.
  17. J. H. Park and M. Song, “A Study on the Research Trends in Library & Information Science in Korea using Topic Modeling,” Journal of Korea Society for Information Management, Vol. 30, No. 1, pp. 7-36, 2013. https://doi.org/10.3743/KOSIM.2013.30.1.007
  18. D. L. Kim, K. S. Kwon, “Knowledge Structure Analysis on Business Administration Research using Keyword Network Analysis,” The Journal of Korean Decision Sciences Institute, Vol. 23, No. 1, pp. 111-125, 2015.
  19. S. E. Jang and S. H. Lee, “A Study of Themes and Trends in Research of Global Maritime Economics through Keyword Network Analysis,” Journal of Korea Port Economic Association, Vol. 32, No. 1, pp. 79-95, 2016.
  20. S. S. Lee, “A Study on the Library Marketing Research Trends through Keyword Network Analysis : Comparative Analysis of Korea and Other Countries,” The Journal of Korean Society for Library and Information Science, Vol. 50, No. 3, pp. 383-402, 2016. https://doi.org/10.4275/KSLIS.2016.50.3.383
  21. D. H. Jung, O. J. Kwon, Y. I. Kwon, “Network Analysis of Green Technology using Keyword of Green Field,” KCA Thesis Journal, Vol. 12, No. 11, pp. 511-518, 2012.
  22. Mi Kyoung. Lee, "A Study on Exploration of Intellectual Structure of Artificial Intelligence field Using Co-word analysis," Master's degree, Yonsei University, 2003.
  23. G. H. Jeong, "A Study of foresight method based on textmining and complexity network analysis," KISTEP Report, Vol 11, 2011.
  24. H. H. Deog, “Network Analysis on Production and Flow of Science and Technology Information & Knowledge-Focused on Hyperlink of Information & Knowledge on Biosafety,” 韓國行政學報, Vol. 40, No. 1, pp. 199-223, 2006.
  25. Jungeun Heo, Chang Hoon Yang, “Applying Network Analysis in Convergent Research Relationships: The Case of High-Tech Convergence Technology Development Program,” Journal of Korea Technology Innovation Society, Vol. 16, No. 4, pp. 883-912, 2013.
  26. Jong-Mook Choe, “Investigating Journal Citation Network with Centrality Measures in the Public Administration and Policy Field,” Journal of Digital Convergence, Vol. 14, No. 9, pp. 301-308, 2016. https://doi.org/10.14400/JDC.2016.14.9.301
  27. Kyoung-Ho Choi, Hee-Hwa Oh, Hee-Jong Kwag, “Network analysis using frequency of cross-citation and comparing citation index of accounting journals,” Journal of Digital Convergence, Vol. 12, No. 2, pp. 143-149, 2014. https://doi.org/10.14400/JDC.2014.12.2.143
  28. Seong-Hwan Ju, “Analysis on structure of National Innovation System in IT,” Journal of Digital Convergence, Vol. 14, No. 4, pp. 129-138, 2016. https://doi.org/10.14400/JDC.2016.14.4.129