@article{1871,
author = "Shanwen Zhang and Ping Li and Xuqi Wang",
abstract = "With the development of artificial intelligence (AI), Internet of Things and big data technologies, people are faced with the challenge of how to organize, store and utilize the constantly updated massive data. As an important part of artificial intelligence, knowledge graph (KG) is capable of multi-source and multi-modal complex data storage, management, semantic mining and information interconnection and can connect various related information into a semantic relational network. Has been Internet giants such as Google, Sogou, Baidu successfully applied in the search field and intelligent q{\&}a, etc., KG now emerged many industries, such as medical KG, financial KG, electricity KG and industrial products, etc., have been successfully used in the curriculum integration, for education, hierarchical teaching, subject associated with experiment and so on each link to provide information, Assist teachers to efficiently analyze the knowledge evolution process of relevant knowledge fields, thus greatly improving teachers' work efficiency.",
issn = "23495219",
journal = "IJIRES",
keywords = "Ideological and Political Education, Knowledge Graph, Multi-Modal Complex Data",
month = "September",
number = "5",
pages = "275-279",
title = "{R}esearch on {I}deological and {P}olitical {T}eaching {M}ethod of {D}atabase {C}ourse {B}ased on {K}nowledge {G}raph",
volume = "8",
year = "2021",
}