基于Neo4j的IT技术学习知识图谱系统设计与研究
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中图分类号：TP311 文献标识码：A 文章编号：2096-4706（2025）16-0113-07
Design and Research of IT Technology Learning Knowledge Graph System Based on Neo4j
LIU Meiyu，LIU Xuesong， YANG Wuchuan， TAN Danyi， WANG Mingrui，LI Yuyan （JilinAgriculturalScienceandTechnologyCollege，Jilin 1321o1，China）
Abstract： Aiming at the problem of information asymmetry between IT technology education suply and industrial demand，this studydesignsanIT technologylearning KnowledgeGraph systembasedonNeo4j graphdatabaseandES.The systemitegrates multi-source heterogeneous datasuchascourses，skils，learingresouesandenterprisepositions，constructs across-dimensional knowledge associationnetwork，andrealizes dynamicoptimizationoflearningpaths andaccurate matching of jobcapabilies.Thesysteminovativelyconstructs theKnowledgeGraphofuserabilitytrainingprogram，quantifesth sil leveloflearners，andanalyzes the matching degree with jobrequirements trough Knowledge Graphmapping.The experimental results how thatthe system resource utilization and job matching accuracy are significantly improved，and the learning effciencyand employment matching degreeare effectively improved.Thisresearchhasimportant practical value foroptimizing thematchingmechanismof talentsupplyanddemand，andprovidesafeasibleschemeforthepreciseemploymentofstudents in the IT industry.
Keywords： Knowledge Graph; Neo4j; IT technology learning; entity extraction; knowledge storage
0 引言
在IT技术教育与就业市场领域，教育与产业需求间的信息不对称问题至关重要。（剩余4999字）
