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

被引:0
|
作者
Zhou, Yuzhong [1 ]
Lin, Zhengping [1 ]
Tu, Liang [1 ]
Huang, Junkai [2 ]
Zhang, Zifeng [1 ]
机构
[1] China Southern Power Grid Co, Elect Power Res Inst, Guangzhou, Peoples R China
[2] Guizhou Power Grid Co Ltd, Elect Power Res Inst, Guangzhou, Peoples R China
来源
EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS | 2023年 / 10卷 / 02期
关键词
Deep learning; standard knowledge service system; knowledge classification; convolutional neural network (CNN);
D O I
10.4108/eetsis.v9i6.2637
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:1
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