课程
计算机科学
图形数据库
图形
构造(python库)
知识图
领域(数学)
等待图形
数据科学
理论计算机科学
情报检索
程序设计语言
数学
心理学
教育学
纯数学
作者
Xiaobing Yu,Mike Stahr,Han Chen,Runming Yan
标识
DOI:10.1109/iccece51280.2021.9342370
摘要
With the fact that the knowledge in each field in university is keeping increasing, the number of university courses is becoming larger, and the content and curriculum system is becoming much more complicated than it used to be, which bring many inconveniences to the course arrangement and analysis. In this paper, we aim to construct a method to visualize all courses based on Google Knowledge Graph. By analysing the properties of the courses and their preceding requirements, we want to extract the relationship between the precursors and the successors, so as to build the knowledge graph of the curriculum system. Using the graph database Neo4j [7] as the core aspect for data storage and display for our new curriculum system will be our approach to implement our knowledge graph. Based on this graph, the venation relationship between courses can be clearly analysed, and some difficult information can be obtained, which can help to combine the outline of courses and the need to quickly query the venation information of courses.
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