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Research on Multimedia Distance Education Resource Management System Based on Knowledge Graph

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e-Learning, e-Education, and Online Training (eLEOT 2023)

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Abstract

With the rapid development of information technology, multimedia distance education plays an increasingly important role in modern education. In order to solve the problems existing in the existing teaching resource management system, a multimedia distance education resource management system based on knowledge mapping is proposed. The hardware configuration of the system is improved based on at 45db80 chip. In order to ensure the operation of the hardware configuration, the information classification management algorithm of the multimedia distance education resource management system is optimized combined with the knowledge map algorithm, and the information classification algorithm and information management process are improved according to the knowledge map algorithm, so as to realize the design of the multimedia distance education resource management system. Finally, the experiment proves that the multimedia distance education resource management system based on knowledge map is more effective than the traditional management system, and the detection results can reach more than 90%, which fully meets the research requirements.

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Authors and Affiliations

  1. Department of Building Management, Chongqing College of Architecture and Technology, Chongqing, 400030, China

    Jie Gao & Lini Wu

Authors
  1. Jie Gao
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  2. Lini Wu
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Corresponding author

Correspondence to Lini Wu .

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Editors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, China

    Guan Gui

  2. Yantai University, Yantai, China

    Ying Li

  3. Institute of High Performance Computing, Fusionopolis, Singapore

    Yun Lin

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Gao, J., Wu, L. (2024). Research on Multimedia Distance Education Resource Management System Based on Knowledge Graph. In: Gui, G., Li, Y., Lin, Y. (eds) e-Learning, e-Education, and Online Training. eLEOT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 543. Springer, Cham. https://doi.org/10.1007/978-3-031-51465-4_8

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  • DOI: https://doi.org/10.1007/978-3-031-51465-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51464-7

  • Online ISBN: 978-3-031-51465-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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