摘要
[目的/意义]研究构建科技人才知识图谱,实现高潜质科技人才的智能化分析与识别,为科技人才评价、人才梯度培养等提供决策支撑。[方法/过程]本文从青年科技人才的特征出发,融合多源异构科技大数据,设计形成了科技人才知识图谱技术架构。从成长经历、科研环境、创新能力、科技领域等维度,构建了基于三层科技数据治理的青年科技人才知识图谱技术架构,建立了湖南青年人才数据资源池和画像系统。[结果/结论]本研究构建了涵盖湖南科技管理系统2万余条青年科技人才实体和40万条关系数据的湖南省青年科技人才知识图谱,有效支撑了湖南省青年科技人才管理决策。
[Purpose/Significance]This paper tries to construct a knowledge graph of technology talents,achieve intelligent analysis and identification of high potential technology talents,and provide decision-making support for technology talent evaluation,talent gradient training,etc.[Method/Process]Starting from the characteristics of young scientific and technological talents,this article integrated multi-source heterogeneous scientific and technological big data to design and form a technological architecture for the knowledge graph of scientific and technological talents.A knowledge graph technology architecture for young scientific and technological talents based on three-layer scientific and technological data governance were constructed from dimensions such as growth experience,scientific research environment,innovation ability,and technological field,forming a data resource pool and portrait system for young talents in Hunan.[Result/Conclusion]This study constructs the knowledge map of young scientific and technological talents in Hunan province,which covers more than 20000 scientific and technological talents entities and 400000 relational data of Hunan Scientific and technological talents management system,and effectively supports the decision-making of young scientific and technological talents management in Hunan province.
作者
李维思
文晓芬
李贵龙
彭添焕
唐满华
Li Weisi;Wen Xiaofen;Li Guilong;Peng Tianhuan;Tang Manhua(School of Information Management,Wuhan University,Wuhan 430072,China;Hunan Institute of Science and Technology Information,Changsha 410001,China)
出处
《现代情报》
CSSCI
北大核心
2024年第10期103-114,共12页
Journal of Modern Information
基金
湖南科技计划项目“湖南科技创新管理平台(湖南科技云)”(项目编号:2022TP1011)。
关键词
三层数据治理
青年科技人才
人才画像
知识图谱
知识服务
three layer data governance
young scientific and technological talents
talent portrait
knowledge graph
knowledge service
