【作 者】：
穆 肃， 谭梓淇， 骆珏秀， 宁秀文， 胡小勇
【关 键 词 】：
学科知识图谱； 动态知识图谱； 基础教育； 构建应用
【栏 目】：
学习环境与资源
【中文摘要】：
知识图谱作为知识存储工具的应用对教学教研具有重要意义，近年来受到研究者和教师的广泛关注。文章针对传统学科知识图谱构建方法难以适应智能时代知识快速增长、更新的需要，基础教育学科知识图谱未能用于综合解析教与学的过程和智能评估学习发展的问题，从学科知识、教学活动、学生学习三个角度出发，提出建构包含学科知识、教学活动、个体学习的三层立体动态知识图谱模型的思路，结合自顶向下和自底向上的构建方法，从数据采集、本体构建、知识抽取、知识融合、知识更新五个方面设计图谱构建框架，实现三层图谱相互关联、相互影响和相互解释，支持基于教学过程大数据的教学过程和学习成效解释和诊断。基于提出的模型和方法，研究以数学学科内容进行了应用示例，以期为知识图谱领域的实践提供应用参照。
【英文摘要】：
The application of subject knowledge graph as a tool for knowledge storage is of great significance to teaching and research, and has received extensive attention from researchers and teachers in recent years. Aiming at the fact that the is the construction method of traditional subject knowledge graph is difficult to meet the needs of rapid growth and updating of knowledge in the intelligent era, and the problem of subject knowledge graph of basic education failing to comprehensively analyze the teaching and learning process and intelligently assess learning development, this paper presents the idea of constructing a three-layer stereoscopic dynamic knowledge graph model, including subject knowledge, teaching activities and individual learning from three perspectives of subject knowledge, teaching activities and students' learning. Combining top-down and bottom-up construction methods, this paper designs a construction framework of knowledge graph from five aspects: data collection, ontology construction, knowledge extraction, knowledge fusion, and knowledge updating. The realization of the interconnection, mutual influence and mutual interpretation of the three-layer knowledge graph can support the interpretation and diagnosis of the teaching process and learning effect based on the big data of the teaching process. Based on the proposed model and method, this paper takes mathematics knowledge as an example, aiming to provide an application reference for the practice in the field of subject knowledge graph.