知识图谱在医学领域的研究现状分析  

Analysis of the current research status of knowledge graph in the medical field

作　　者：郑增亮 蔡晓琼 苏前敏[1] 黄继汉[2] ZHENG Zengliang;CAI Xiaoqiong;SU Qianmin;HUANG Jihan(College of Electrical and Electronic Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;Center for Drug Clinical Research,Shanghai University of Chinese Medicine,Shanghai 201203,China)

机构地区：[1]上海工程技术大学电子电气工程学院,上海201620 [2]上海中医药大学药物临床研究中心,上海201203

出　　处：《智能计算机与应用》2023年第5期32-39,共8页Intelligent Computer and Applications

基　　金：“十三五”国家科技重大专项(2018ZX09711001-009-011);科技创新2030重大项目(2020AAA0109300)。

摘　　要：本文针对国内外知识图谱在医学领域的研究进行可视化分析,对比国内和国外研究的热点和异同,以期推动中国知识图谱在医学领域的研究。以CNKI和Web Of Science上刊载的“知识图谱在医学领域研究”主题相关核心文献作为数据来源,运用CiteSpace可视化软件进行文献计量分析。从时间序列上看,知识图谱在医学领域的研究已引起国内外学者的广泛关注,该领域的发文量随着时间推移,呈现不断增长的趋势。新的方法、技术如大数据、人工智能,深度学习不断应用到医学领域的知识图谱中,但国内外知识图谱在医学领域方面的研究侧重点不同,国内侧重于理论研究,国外侧重于实际应用。This paper presents a visual analysis of domestic and foreign research on knowledge graphs in medicine,comparing the hotspots and similarities between domestic and foreign research,with a view to promoting the research on knowledge graphs in medicine in China.The core literature related to the topic of"knowledge graphs in medicine"published in CNKI and Web Of Science was used as the data source,and the bibliometric analysis was conducted using CiteSpace visualization software.In terms of time series,the research on knowledge graphs in medicine has attracted widespread attention from scholars at home and abroad,and the number of articles published in this field has shown a growing trend over time.New methods and technologies such as big data,artificial intelligence,and deep learning have been continuously applied to knowledge mapping in the medical field,but the focus of research on knowledge mapping in the medical field is different at home and abroad,with China focusing on theoretical research and foreign countries on practical applications.

关 键 词：知识图谱 医学领域 可视化 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]