Bibliometric Analysis of TCM Knowledge Engineering Based on CNKI

Ontology and its related research fields such as semantic network and knowledge graph are all carriers of knowledge engineering in Traditional Chinese Medicine (TCM). As knowledge management models, they have been widely used in TCM knowledge fields. Analyzing the knowledge engineering (ontology, semantic network and knowledge graph in this paper) literatures in the database of China National Knowledge Infrastructure (CNKI) will show the research status of TCM knowledge engineering and provide the researchers a good reference. Methods: In CNKI "Chinese Academic Journal" database, the keywords "knowledge engineering", "ontology", "semantic network" and "knowledge graph" are used to do subject searching from year 2000 to 2020. Python's pandas data analysis package is used to analyze the search results. The analysis of publishing annual trend, institutions of research, authors, resource journals and keywords are made in this paper.([1]) Results: A total of 614 literatures were retrieved. The trend curve of published literatures has two obvious stages: growth and rapid growth. Nanjing University of TCM has published the most papers in all the institutions. The authors who published more than three articles are the core researchers of knowledge engineering. The journal of "China Digital Medicine " have published the most literatures in all journals. The research hotspots are mainly on knowledge graph, data visualization, ontology, knowledge base et. Conclusions: In China, the universities of TCM are the main forces of knowledge engineering research. Knowledge graph research has made a great development in recent 2 years with the rapid development of AI. Ontology is always the hotspot in knowledge engineering of TCM. Knowledge base, visualization, and knowledge service also gradually become the focus of research.