Application of Knowledge Graph in University Scientific Research Work
Fast and efficient management is an important guarantee and prerequisite for the development of scientific research and the improvement of scientific research level,and it is also an indispensable step to improve the efficiency of scientific research work.Colleges and universities have undertaken a large number of scientific research projects,generating massive isomerized scientific research data,which is prone to problems such as large differences in data sample size,slow data response,and messy data visualization display when conducting data analysis.Based on big data and knowledge graph,this paper realizes the important processes of data extraction,knowledge extraction,and knowledge fusion in scientific research management,visualizes scientific research data,improves scientific research efficiency,and assists scientific researchers in decision-making.Experiments show that knowledge graph provides favorable guarantee and convenience for scientific research.
NETL
NSTL
万方数据
