摘要
知识图谱(Knowledge Graph)是一种基于图形数据结构的语义网络,由节点(Point)和边(Edge)组成,每个节点代表现实世界中的“实体”,每条边表示实体之间的“关系”。将知识图谱系统应用于大学英语教学,可以自动化构建大学英语知识图谱,精确为用户画像,推荐个性化英语学习路径并实现免人工干预的个性化知识问答。
Knowledge Graph is a semantic network based on graphical data structures,consisting of points and edges.Each point represents“entity”in the real world,and each edge represents“relationship”between entities.Applying the knowledge graph system to college English teaching can automate the construction of knowledge graph for college English,accurately create profile for users,recommend personalized English learning paths,and achieve personalized knowledge Q&A without human intervention.
作者
范洪
陆宇程
FAN Hong;LU Yu-cheng(China University of Geosciences(Beijing),Beijing 100086,China;Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处
《当代教研论丛》
2023年第9期39-43,共5页
contemporary Teaching and Research
基金
中国地质大学(北京)教学教改项目:课程思政教学教改项目(KCSZ202128)。
关键词
知识图谱
本体
个性化学习
用户画像
knowledge graph
ontology
personalized learning
user profile
