[目的/意義]闡述大規模知識圖譜及其典型應用,分析其所面臨挑戰及對策,展望其發展趨勢。[方法/過程]采用網絡調查法、內容分析法系統梳理、闡述大規模知識圖譜及其典型應用,所面臨挑戰及對策、發展趨勢。[結果/結論]大規模知識圖譜典型應用為語義搜索、深度問答、智能推薦等;面臨特征知識表示、知識缺失、知識更新、功能全面性等挑戰;向特色化、開放化、智能化方向發展。

[Purpose/significance] This paper aims to expound large-scale 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 large-scale knowledge graph and its typical applications,its challenges and countermeasures,as well as its development trends. [Result/conclusion] The typical applications of large-scale knowledge graph are semantic search,in-depth 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.