Web-based Automatic Deep Learning Service Generation System by Ontology Technologies

被引:0
作者
Paik, Incheon [1 ]
Zeng, Kungan [2 ]
Bae, Munhan [3 ]
机构
[1] Univ Aizu, Sch Comp Sci, Aizu Wakamatsu, Fukushima, Japan
[2] Sun Yat Sen Univ, Sch Software & Engn, Guangzhou, Peoples R China
[3] Mongolia Int Univ, Dept Comp Sci, Ulaanbaatar, Mongolia
来源
2022 IEEE 25TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING, CSE | 2022年
关键词
deep learning; automatic service generation; ontology; Web; artificial intelligence;
D O I
10.1109/CSE57773.2022.00019
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Although deep learning (DL) has obtained great achievements in the industry, the involvement of artificial intelligence (AI) experts in developing customized DL services raises high costs and hinders its wide application in the business domain. In this research, a Web-based automatic DL service generation system is presented to address the problem. The system can generate customized DL services without involving AI experts. The main principle of the system adopts ontology technologies to organize DL domain knowledge and generate target services based on the user's requests posted from the front-end web page. In the empirical study, the whole scenario of the system is demonstrated, and the scalability is also evaluated. The result shows that our system can generate customized services correctly and has good scalability.
引用
收藏
页码:65 / 72
页数:8
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