CHI TIẾT NGHIÊN CỨU …
Tiêu đề
A Capability-oriented Method for Integration of Liberal Arts Knowledge Graph in Primary Education
Tác giả
Yu H.; Chen Y.; Wang X.; Hu S.; Chang L.
Năm xuất bản
2021
Source title
Proceedings - 2021 International Conference on Computers, Information Processing and Advanced Education, CIPAE 2021
Số trích dẫn
0
DOI
10.1109/CIPAE53742.2021.00088
Liên kết
Tóm tắt
Education is one of the major problems in people's livelihood in China nowadays, especially in field of basic primary education. Personalized learning is a very important research and application topic in field of primary education, in which the construction of knowledge graph is the core and foundation of application. This paper focuses on constructing and integrating the knowledge graph of liberal arts subject in field of primary education. First, the liberal arts concepts are extracted and subject ontologies are constructed. Second, multi-disciplinary ontology is integrated to construct the conceptual model of field of Liberal arts. Third, the method of acquiring data layer of knowledge graph is discussed and implemented. At last, the application of knowledge graph in field of primary education is listed, and the practice of this method provides ideas for the construction of knowledge graph in field of primary education, and also knowledge graph of liberal arts can provide support for personalized education applications. © 2021 IEEE.
Từ khóa
knowledge graph integration; ontology modeling; primary education of liberal arts; storage and application
Tài liệu tham khảo
Gruber T.R., Towards principles for the design of ontologies used for knowledge sharing, Int'l Journal of Human-Computer Studies; Studer R., Benjamins V.R., Fensel D., Knowledge engineering Principles and methods, Data &knowledge Engineering, 25, 1, pp. 161-197, (1998); Yang Y.J., Xu B., An accurate and efficient method for constructing domain knowledge graph, Journal of Software; Huo S.L., A review of Huo Songlin's good poems, Shaanxi Normal, 1, (2018); Xi X.F., Zhou G.D., Pronouns based on Deep Learnin g refer to disambiguation, Journal of Peking University (Natural Science Edition, 50, 1, pp. 100-110; Xu K., Feng Y.S., Zhao D.Y., Et al., A Semantic Understanding of Chinese Natural Language Question Sentences Facing Knowledge Base, A Journal of Peking University(Natural Science Edition, 50, 1, pp. 85-92
Nơi xuất bản
Institute of Electrical and Electronics Engineers Inc.
Hình thức xuất bản
Conference paper
Open Access
Nguồn
Scopus