基于知识图谱的智慧水利研究进展

基于2000—2021年中国知识基础设施工程(CNKI)和Web of Science核心数据库(WOS)中以智慧水利为主题的相关研究文献，采用VOSviewer、CiteSpace等软件构建智慧水利研究领域文献量时序分布、发文机构和研究热点演变的各类知识图谱，分析了当前智慧水利研究进展。结果表明：智慧水利文献量均逐年递增，但CNKI数据库文献量与WOS数据库相比存在明显差距；智慧水利领域已形成核心研究机构，对其前沿发展做出了重要贡献；CNKI数据库中智慧水利研究侧重以流域为单位构建数字流域与智慧水利框架，WOS数据库则侧重从地理地球视角出发开展研究，两者均以物联网、深度学习等为基础搭建智慧水利平台。

Research progress of smart water conservancy based on knowledge graph

This paper collected relevant research literatures on the smart water conservancy in the databases of China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) from 2000 to 2021. By using the VOSviewer, CiteSpace and other software, this study built various knowledge maps for the time series distribution of literatures in the field of smart water conservancy, publishing institutions, and evolution of research hotspots, to analyze the current progress of smart water conservancy research. The results show that the literature amount of smart water conservancy is increasing year by year, but there is a significant gap between the CNKI database and the WOS database, and core research institutions have been formed in the field of smart water conservancy making important contributions to the frontier development. The CNKI database focuses on the construction of digital watershed and smart water conservancy framework by basin as a unit, while the WOS database focuses on researches from the perspective of geography and earth. Both of them build the platforms for smart water conservancy based on the Internet of Things and deep learning.