Analysis and Design of Standard Knowledge Service System based on Deep Learning

Authors

  • Yuzhong Zhou Electric Power Research Institute, China Southern Power Grid, China
  • Zhengping Lin Electric Power Research Institute, China Southern Power Grid, China
  • Liang Tu Electric Power Research Institute, China Southern Power Grid, China
  • Junkai Huang Electric Power Research Institute of Guizhou Power Grid Co. , Ltd., China
  • Zifeng Zhang Electric Power Research Institute, China Southern Power Grid, China

DOI:

https://doi.org/10.4108/eetsis.v9i6.2637

Keywords:

Deep learning, standard knowledge service system, knowledge classification, convolution neural network (CNN)

Abstract

The development of information technology has changed the mode of communication of social information, and this change has put forward new requirements on the contents, methods and even objects of information science research. Knowledge service in the information service process can extract knowledge and information content from various explicit and implicit knowledge resources according to people’s needs, build knowledge networks, and provide knowledge content or solutions for users’ problems. Hence, it is very important to investigate how to analyze and design the advanced standard knowledge service system based on deep learning. To this end, we firstly introduce the typical deep learning networks of convolutional neural network (CNN) for the knowledge service system, and then employ the CNN to implement the knowledge classification based on deep learning. Finally, some simulation results on the knowledge service system are presented to validate the proposed studies in this paper.

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Published

12-10-2022

How to Cite

1.
Zhou Y, Lin Z, Tu L, Huang J, Zhang Z. Analysis and Design of Standard Knowledge Service System based on Deep Learning. EAI Endorsed Scal Inf Syst [Internet]. 2022 Oct. 12 [cited 2023 Feb. 6];10(2):e8. Available from: https://publications.eai.eu/index.php/sis/article/view/2637