基于CiteSpace的人工智能文献大数据可视化分析

基于CiteSpace的人工智能文献大数据可视化分析①

任利强, 郭 强, 王海鹏, 张立民

(海军航空大学信息融合技术研究所, 烟台 264001)

通讯作者: 任利强, E-mail: 1194153993@https://www.wendangku.net/doc/661594784.html,

摘 要: 随着数据量的上涨、计算机运算力的提升和深度学习算法的出现, 人工智能受到越来越多的关注. 文中以美国核心期刊数据库Web of Science收录的与人工智能相关的6879篇期刊论文为研究对象, 以时空知识图谱及内容知识图谱分析为主要研究方法, 基于信息可视化软件CiteSpace从合作国家、研究机构、引用文献、关键词和突现词五个方面对文献大数据进行可视化比较和分析, 明确了人工智能领域的研究现状及重要文献, 揭示了人工智能领域的研究热点和前沿. 最后, 通过对五个可视化分析方面的总结, 给出了在人工智能领域中选择科研方向、探测学科前沿、辅助科技决策等方面的重要参考.

关键词: 人工智能; 可视化分析; 文献大数据; CiteSpace; 学科前沿

引用格式: 任利强,郭强,王海鹏,张立民.基于CiteSpace的人工智能文献大数据可视化分析.计算机系统应用,2018,27(6):18–26. https://www.wendangku.net/doc/661594784.html,/1003-3254/6390.html

CiteSpace-Based Visualization Analysis of Literature Big Data on Artificial Intelligence

REN Li-Qiang, GUO Qiang, WANG Hai-Peng, ZHANG Li-Min

(Institute of Information Fusion, Naval Aviation University, Yantai 264001, China)

Abstract: With the increase of data volume, the improvement of computer computing power, and the emergence of deep learning algorithm, artificial intelligence has been paid more and more attention. Taking American Core Journal Database Web of Science as research object, in which 6879 journal papers about artificial intelligence were included, adopting knowledge map of time and space and content knowledge map as main research methods, and applying the information visualization software CiteSpace, visualize and analyze literature big data from five aspects: cooperative countries, research institutions, references, keywords, and burst terms. It clarifies the research status and important literature in the field of artificial intelligence, and reveals the research hotspots and frontiers in the field of artificial intelligence. Finally, through the summary of the five visual analyses, the article gives an important reference in the field of artificial intelligence to select the direction of scientific research, to explore the forefront of science, to help science and technology decision, and so on.

Key words: artificial intelligence; visual analysis; literature big data; CiteSpace; subject frontier

1 引言

近年来, 从人机围棋大战到无人驾驶汽车, 从智能游戏、智能检索到智能机器人, 从语音识别、图像识别到机器翻译和自然语言理解等. 人工智能技术对社会各领域产生了广泛而深远的影响, IBM、谷歌、Face book、微软、Amazon、百度、阿里巴巴等各国高科技企业普遍将人工智能视为下一代产业革命和互联网革命的技术引爆点, 并且投入大量资金以加快其产业

计算机系统应用 ISSN 1003-3254, CODEN CSAOBN E-mail: csa@https://www.wendangku.net/doc/661594784.html, Computer Systems & Applications,2018,27(6):18?26 [doi: 10.15888/https://www.wendangku.net/doc/661594784.html,ki.csa.006390]https://www.wendangku.net/doc/661594784.html, ?中国科学院软件研究所版权所有.Tel: +86-10-62661041

①基金项目: 国家自然科学基金重大研究计划(91538201); 泰山学者工程专项(Ts201511020)

收稿时间: 2017-10-10; 修改时间: 2017-11-03; 采用时间: 2017-11-08; csa在线出版时间: 2018-05-28

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