知识图谱演进与新兴技术融合趋势研究

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中图分类号：TP18 文献标识码：A 文章编号：2096-4706（2025）16-0120-06

Research on Evolution and Integration Trends of Knowledge Graphs with Emerging Technologies

AO Ruoyao

（School of Cultural Heritage and Information Management， Shanghai University， Shanghai 2oo444， China）

Abstract： This paper systematically combs through the progressof theevolution ofknowledge graph and its integration with theemerging technologiesofLargeLanguage Models，vectordatabases，andagents，imingtoprovideatheoreticalfameworkand practical directionforthefuturedevelopmentofknowledgegraphFrstlytheevolutionofkowledgegraphisdiscussedbytaking multidimensioalpsptive，cdingtelicatiooeodgengeactestdataeprsetatobtly the progressof itscutting-edge interactions withLLMs，vectordatabasesand intelligencesareexplored.Thedevelopmentof knowledgegraphsshowsashiftfomgeneraltovertical，fromstatic todynamic，andfromsingletomultiple.Future knowledge graphresearchshould paymoreatentiontotheconstructionofdynamic knowledge graphs，thefusionofmultimodalLLMs，andthe realizationofinteractions wihemergngtechologies，soatoadapttotenedsoftheAificialIntellgenceandBigDataera.

Keywords： Knowledge Graph; Artificial Intelligence; Large Language Model; vector database

0 引言

自2012年谷歌公司正式提出知识图谱（KnowledgeGraph，KG）这一搜索技术以来，该技术便在信息技术领域逐渐占据核心地位。（剩余7390字）