Abstract：［Purpose/significance］ This paper aims to expound largescale knowledge graph and its typical application,analyze the challenges and countermeasures it faces,and present its development trend ［Method/process］ Using the methods of network investigation and content analysis,the paper systematically explores the largescale knowledge graph and its typical applications,its challenges and countermeasures,as well as its development trends ［Result/conclusion］ The typical applications of largescale knowledge graph are semantic search,indepth question and answer,intelligent recommendation,etc It faces the challenges of feature knowledge representation,knowledge lacking,knowledge updating,function comprehensiveness,and so on It is developing in the direction of specialization,openness and intelligence
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