知识图谱的可视化文献计量分析

With the continuous development of the network society, people put forward higher requirements for information retrieval and the emergence and development of knowledge graph provide support for it. Therefore, the research on knowledge graph has gradually attracted the attention of scholars, and the relevant research on its integration with various fields has also gradually increased. In order to gain insight into the research process and future development trend of knowledge graph, this pa-per uses CiteSpace software to visually analyze the research of knowledge graph in CNKI and Web of Science (WOS) databases. and sort out the documents from 2013 to 2022 according to the number of documents issued annually, institution co occurrence. author co-occurrence, key word co-occurrence, keyword clustering and burst words. The in-depth learning, artificial intelligence. literature metrology and visualization in Chinese research.and social network analysis.task analysis, data mining, and multi-agent system in foreign language research are selected as the research hotspots for keyword review. The study finds that at this stage, despite the trend of comprehensive and in-depth development of knowledge graph related research, the Chinese research presents a weak linkage, weak stability, and a narrow research scope, which can be continuously improved accordingly in the subsequent re search.