基于大语言模型的大数据专业课程体系知识图谱构建及可视化研究

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中图分类号：TP311 文献标识码：A 文章编号：1006-8228（2025）11-88-05

Abstract：Withtheongoingandin-depthprocessofsocialinformatization，theapplicationvalueofknowledgegraphsinthefield ofeducationandteachinghasbecomeincreasinglyprominent.ThisresearchisgroundedintheprofesionaltrainingplanofData ScienceandBigDataTechnologyandcoursesylabuses.ByleveragingtheKimilargelanguagemodel，itautomaticallyextracts entitiesatfiveerarchicallevels，amelymajorsousecategoriesoursesnowledgenitsandowledgepoitssellte relationshipsbetweetheseentitiesndcourseatributes.ThesearetransformedintoCypherstatementsthatcanbeexecutedbythe Neo4jgraphdatabase，therebyconstructingacomprehensiveknowledgegraphofthecuriculumsystem.Onthisfoundation， integratigtheDjangoframeworkandEChartsvisualizationtechnologythisresearchhasdevelopedaknowledgegraphvisualization system.Thissystemenablesthevisualpresentationofthegraph，multi-dimensionalqueries，andinteligentquestion-answering functionsbasedonthegraph.Theconstructionofthisknowledgegraphforthecuriculumsystemcanoferstudentsprofesional cognitivesupportandreferencesforlearmingpathplanning.Itcanalsoprovideteacherswithsupportforcurrculumdesignand optimizing the connection of teaching content.

Keywords：Data ScienceandBigData Technology;Curriculum System;Knowledge Graph;LargeLanguageModel

0引言

随着大数据、人工智能及大模型技术的迅猛迭代，社会信息化与智能化转型进程持续深化。（剩余5029字）