基于知识图谱的学习资源核心概念提取策略分析

Analysis of Core Concept Extraction Strategies of Learning Resources Based on Knowledge Graph

自动识别学习资源中的核心概念是学习内容组织的重要任务,是构建各种个性化推荐系统的基础.利用知识图谱构建基于语义的知识库,通过核心概念识别,利用语义表征方法、监督方法实现核心概念提取.研究结果表明,基于知识图谱的学习资源核心概念提取策略的识别精度高.

Automatic identification of core concepts in learning resources is an important task of learning content organization.It is the basis of constructing various personalized recommendation systems.Knowledge Graph is used to construct the knowledge database based on semantics,and the core concept recognition is realized by using semantic representation method and supervision method.The results show that the core concept extraction strategy of learning resources based on Knowledge Graph has high accuracy.