国际人工智能研究前沿及演进趋势——基于对人工智能期刊论文的突变术语探测分析

The Frontiers and Trends of Artificial Intelligence Research—An Analysis Based on Burst Term Detection on Journal Articles

【目的】对2006-2019年人工智能领域的研究前沿及演进趋势开展分析,为相关学者提供参考。【文献范围】从Web of Science核心数据库中,检索到中国计算机学会推荐的人工智能领域A类和B类国际期刊在2006-2019年间发表的28862篇论文。【方法】通过对大量论文数据进行突变术语探测和对代表性论文进行内容解读,分析国际人工智能领域的研究前沿及其演变趋势。【结果】发现2006年以来人工智能领域出现的49个研究前沿,并对其中20个主要研究前沿开展进一步分析,发现总体可分为三个发展阶段,其中近5年内相关研究前沿正在加速涌现。【局限】内容解读范围不足,缺乏期刊以外其他资料与数据的支持,所用工具与算法尚存局限性。【结论】人工智能研究前沿正在面向更深入和更高级的问题加速涌现,并呈多元化发展趋势。

[Objective]This paper investigates the frontiers and trends of artificial intelligence research between 2006 and 2019.[Coverage]28862 articles published between 2006 and 2019 in Class A and Class B journals recommend by China Computer Federation were studied.[Methods]By means of burst term detection on a large number of articles and content analysis on a few articles,this paper investigates the frontiers and trends of artificial intelligence research.[Results]20 major frontier research topics between 2006 and 2019 were detected,which could be summarized in three development stages.The emergence of frontier research topics has been accelerating in recent 5 years.[Limitations]The coverage of content analysis is not broad enough;the data and information only considers journal research articles;the tool and algorithm employed still have some limitations.[Conclusions]The emergence of frontier research topics of artificial intelligence are accelerated towards more sophisticated problems,enhancing diversity of research topic.