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http://dx.doi.org/10.14400/JDC.2017.15.5.225

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

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)
Publication Information
Journal of Digital Convergence / v.15, no.5, 2017 , pp. 225-233 More about this Journal
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.
Keywords
Artificial Intelligence; Thesis Trends; Keyword Analysis; Network Analysis; Trend Analysis;
Citations & Related Records
Times Cited By KSCI : 16  (Citation Analysis)
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