Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (8): 2228-2236.doi: 10.23940/ijpe.19.08.p23.22282236

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Auto-Construction of Course Knowledge Graph based on Course Knowledge

Peng Zhua,b, Wei Zhongc,*, and Xianming Yaod   

  1. a School of Information Science and Technology, Yunnan Normal University, Kunming, 650500, China
    b Key Laboratory of Educational Informatization for Nationalities of Ministry of Education, Yunnan Normal University, Kunming, 650500, China
    c Archives Center of Yunnan Normal University, Kunming, 650500, China
    d School of Information Engineering, Qujing Normal University, Qujing, 655011, China
  • Submitted on ;
  • Contact: * E-mail address: zhongwei@ynnu.edu.cn
  • About author:Peng Zhu is a master's student in the Key Laboratory of Educational Informatization for Nationalities (Ministry of Education) at Yunnan Normal University. His research interest is the informatization of ethnic education resources. Wei Zhong is an associate professor in the Key Laboratory of Educational Informatization of Nationalities (Ministry of Education) at Yunnan Normal University. She specializes in education informationization in language teaching. Her researches focus on utilizing new technology in language teaching, especially educational technology in multilingual contexts. Xianming Yao graduated from Kunming University of Science and Technology with a master's degree and works as an information engineering lecturer at Qujing Normal University. His current research interests include knowledge graph construction, domain ontology, and automatic question answering systems.
  • Supported by:
    The research is supported by the National Nature Science Fund Project (No. 61562093), Key Project of Applied Basic Research Program of Yunnan Province (No. 2016FA024), Program for Innovative Research Team (in Science and Technology) in University of Yunnan Province, and Starting Foundation for Doctoral Research of Yunnan Normal University (No. 2017ZB013).

Abstract: Course knowledge informationization increases the difficulties to present intrinsic connections among knowledge points in a visual way. This paper presents research on the auto-construction of course knowledge graphs based on knowledge graphs. Detailed questions regarding the auto-construction of course knowledge graphs are illustrated through a series of mature and reliable technical means. Additionally, this paper studies the application of course knowledge graph visualized navigation, providing new methods of course knowledge information construction and decreasing the learning costs for new knowledge.

Key words: knowledge graph, course knowledge, ontology pattern, knowledge extraction