现代信息科技2025，Vol.9Issue(16)：113-119,7.DOI:10.19850/j.cnki.2096-4706.2025.16.020
基于Neo4j的IT技术学习知识图谱系统设计与研究
Design and Research of IT Technology Learning Knowledge Graph System Based on Neo4j
摘要
Abstract
Aiming at the problem of information asymmetry between IT technology education supply and industrial demand,this study designs an IT technology learning Knowledge Graph system based on Neo4j graph database and ES.The system integrates multi-source heterogeneous data such as courses,skills,learning resources and enterprise positions,constructs a cross-dimensional knowledge association network,and realizes dynamic optimization of learning paths and accurate matching of job capabilities.The system innovatively constructs the Knowledge Graph of user ability training program,quantifies the skill level of learners,and analyzes the matching degree with job requirements through Knowledge Graph mapping.The experimental results show that the system resource utilization and job matching accuracy are significantly improved,and the learning efficiency and employment matching degree are effectively improved.This research has important practical value for optimizing the matching mechanism of talent supply and demand,and provides a feasible scheme for the precise employment of students in the IT industry.关键词
知识图谱/Neo4j/IT技术学习/实体提取/知识存储Key words
Knowledge Graph/Neo4j/IT technology learning/entity extraction/knowledge storage分类
信息技术与安全科学引用本文复制引用
刘美瑜,刘雪松,杨武川,谭丹怡,王鸣锐,李宇雁..基于Neo4j的IT技术学习知识图谱系统设计与研究[J].现代信息科技,2025,9(16):113-119,7.基金项目
吉林省大学生创新创业项目(S202411439064) （S202411439064）
