基于科研知识图谱的近年国内外自动化学科发展综述  

Analytics of Lastest Research Progress in Automation Discipline Based on Academic Knowledge Mapping

作　　者：陆浩[1] 王飞跃[1,2] 刘德荣[1] 张楠 赵学亮 

机构地区：[1]中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京100190 [2]中国自动化学会,北京100190

出　　处：《自动化学报》2014年第5期994-1015,共22页Acta Automatica Sinica

基　　金：中国科学技术协会的<2012-2013年度控制科学与工程学科发展研究报告>项目资助~~

摘　　要：现今,以自动控制和信息处理为核心的自动化技术已经成为推动生产力发展、改善人类生活以及促进社会前进的源动力之一.全面了解自动化学科的最新发展态势,对本领域科研部门、科研人员进行工作的规划与实施有着重要的参考价值,本文以2011年～2013年期间88种期刊的46242篇文章作为数据基础,采用文献计量学、社会网络分析等方法进行数据解析,通过知识图谱定量描绘出本领域5个方向(控制理论与控制工程、模式识别与智能系统、系统工程、检测技术与自动化装置、导航、制导与控制)的最新研究态势.结果表明,本领域国内研究热点与国际研究热点各有侧重,国内机构在国际研究中的地位逐步提高,特别地,华人群体在本领域的研究中起到重要的推动作用.Nowadays, automation science and technology based on automatic control and information processing has be- come an essential impetus to productive forces and human life. So a comprehensive understanding of the latest research progress in this discipline is essential for its significant reference value to scholars and research institutions. In this paper, the automation science and technology discipline is divided into five re- search fields, which are specifically defined as control theory and engineering, pattern recognition and intelligent systems, mea- surement technology and automatic equipment, navigation and guidance, and systems engineering. Each field is depicted by analyzing and mapping the data from 46 242 academic articles published on 88 journals during 2011 ~ 2013. The results show that the research interests are different between domestic and abroad, and that the domestic institutions and ethnic Chinese scholars have played an important role in promoting the development of automation science and technology.

关 键 词：数据解析 知识图谱 自动化学科 研究进展 

分 类 号：TP20-1[自动化与计算机技术—检测技术与自动化装置]