Discussion on the application value of knowledge graph in scientific research project selection
10.3760/cma.j.cn113565-20210723-00122
- VernacularTitle:知识图谱在科研选题中的应用价值探讨
- Author:
Tian TIAN
1
;
Yong ZHANG
;
Zhaohui WANG
Author Information
1. 上海交通大学医学院附属瑞金医院《内科理论与实践》编辑部 200025
- Keywords:
Scientific research management;
Scientific research project selection;
Research hotspot;
Research project selection optimization
- From:
Chinese Journal of Medical Science Research Management
2022;35(1):24-30
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Taking the research field of pulmonary infection as an example, this study analyzed the core author institutions, research hotspots and burst keywords, and explored the application value of scientific knowledge graph in the first step of scientific research management-optimization of scientific research project selection.Methods:" Pulmonary infection" or " pneumonia" were used as key words in CNKI data base from 2014 to 2020, and medical science was selected as the discipline. Cite Space was used to generate the visual graph to analyze publishing institutions, keyword co-occurrence, topic clustering, and timeline burst keywords.Results:13 169 documents were retrieved, and 4 of the top 5 institutions were in Henan Province. In 2020, " Novel Coronavirus" and " Novel Coronavirus pneumonia" were the new hotspot words. " Chronic obstructive pulmonary disease " , " blood gas index" , " inflammatory factor" , and " vitamin A" were the burst keywords in 2018.Conclusions:Scientific knowledge graph is objective, scientific, and efficient in the development of science. It has certain feasibility in the optimization of project selection in scientific research work, and can also be used as a reference basis for experts to evaluate the project reasonability, so as to ensure objectivity and equity. This study also provides reference for scientific research management strategy, reduces research funding costs, and improves the efficiency and capacity of scientific research management.
