摘要
快捷而高效的管理是科研发展和科研水平提高的一个重要保障和前提,也是提高科研工作效率不可或缺的一步。高校承担了大量的科研项目,产生海量的异构化科研数据,在进行数据分析时容易出现数据样本大小差异大、数据反应慢、数据可视化显示凌乱等问题。文章基于大数据与知识图谱,实现了科研管理中的数据抽取、知识抽取、知识融合等重要过程,对科研数据进行可视化展示,提高科研工作效率,辅助科研人员决策,实验表明知识图谱为科研工作提供了有力保障与便捷。
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.
作者
屈琴芹
华鹏
高超
Qu Qin-qin;Hua Peng;Gao Chao(School of Electronics and Internet of Things,Chongqing College of Electronic Engineering,Chongqing 401331,China)
出处
《科学与信息化》
2024年第7期46-49,共4页
Technology and Information
基金
重庆电子工程职业学院校级课题项目,项目名称:科研信息管理系统(二期),项目编号:XJWT201902。
关键词
科研工作
知识图谱
大数据
scientific research
knowledge graph
big data
