Research on the Management Model of University Teaching Materials based on Knowledge Graph

Yuehua Geng; Yixuan Zhou

doi:10.54097/j2ed9e48

Authors

Yuehua Geng
Yixuan Zhou

DOI:

https://doi.org/10.54097/j2ed9e48

Keywords:

Teaching Material Management, Knowledge Graph

Abstract

Colleges and universities will produce a large number of teaching materials in their teaching work. It is of great significance to collect and manage teaching materials. In this study, knowledge graph technology is applied to the management of teaching materials in colleges and universities, and an ontology model of teaching materials in colleges and universities based on knowledge graph is proposed. Based on the relevant norms of teaching resources ontology in China, the ontology model of teaching materials in colleges and universities is constructed by seven-step method, and it is transformed into the attribute graph model of teaching materials in colleges and universities, which is stored in the Neo4 j graph database. The model can define the entity type and the relationship between entities, and construct the subject knowledge framework.

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References

[1] Rosana E. The Role of School Operators in Data and Information System Management and Service to Improve School Quality [J]. Indonesian Journal of Education(INJO E), 2022, 3(2): 216-225.

[2] Phan AnhCang, Phan ThuongCang, Trieu Thanh Ngoan. A Systematic Approach to Healthcare Knowledge Management Systems in the Era of Big Data and Artificial Intelligence[J]. Applied Sciences, 2022, 12(9): 4455-4455.

[3] Martensson, Maria. A critical review of knowledge management as a management tool[J]. Journal of Knowledge Management, 2013, 4(3): 204-216.

[4] Guia J, Soares V G, Bernardino J. Graph Databases: Neo4j Analysis [A]. In: Slimane Hammoudi. ICEIS(1)[C]. Porto, Portugal: International Conference on Enterprise Information Systems, 2017:351-356.

[5] Pryima S, Strokan O, Lubko D, Lytvyn Y, Bilyk N. Development of the information system for semantic identification and documentation of the results of non-formal and informal education[J]. CEUR Workshop Proceedings, 2021, 2866: 11-19.