计算机科学
知识图
知识空间
答疑
图形
构造(python库)
知识工程
基于知识的系统
知识管理
人工智能
理论计算机科学
程序设计语言
作者
Pengyuan Shi,Yunxia Fan,Zichao Zhuang,Mingwen Tong
标识
DOI:10.1109/cste59648.2023.00035
摘要
With the development of time, online education such as catechism is widely used, and it is difficult to meet the personalized learning needs of learners because of the difficulty of timely communication between teachers and students while breaking space and time. The intelligent question and answer system integrating subject knowledge can meet learners' knowledge retrieval and personalized learning and make up for teachers' lack of energy. Currently, intelligent question and answer systems based on knowledge graph are receiving attention from researchers in the education field, however, Chinese knowledge graphs for university courses and intelligent question and answer systems based on them are lacking. To address this problem, we propose to construct a Chinese course knowledge graph and design and implement an intelligent question and answer system based on the course knowledge graph. The main contributions of this paper are as follows. Firstly, we designed and implemented an intelligent question and answer system based on the method of building templates. Then, we have classified the knowledge of the Introduction to Database Systems course, clarified the attributes and relationships of the knowledge points, and constructed the course knowledge graph. Finally, an external evaluation method was used to collect 30 questions asked by undergraduate students for systematic testing, resulting in 80% satisfaction. The experiment results indicate that the system can answer user questions more accurately and help learners improve the efficiency of independent learning, while giving practical support to the development of knowledge graph intelligent question and answer applications in education.
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