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Research on Ideological and Political Teaching Method of Database Course Based on Knowledge Graph

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• Volume 8,Issue 5,Sept. 2021

Year:

2021

Type of Publication:

Article

Keywords:

Ideological and Political Education, Knowledge Graph, Multi-Modal Complex Data

Authors:

• Zhang, Shanwen
• Li, Ping
• Wang, Xuqi

Journal:

IJIRES

Volume:

8

Number:

5

Pages:

275-279

Month:

September

ISSN:

2349-5219

BibTex:

@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{\&}amp;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{\&}#039; 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", }

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.

Full text: IJIRES_1871_FINAL.pdf Online version [Bibtex]