基于本体技术的基于web的自动深度学习服务生成系统

Incheon Paik, Kungan Zeng, Munhan Bae
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引用次数: 0

摘要

虽然深度学习(DL)在行业中取得了巨大的成就,但人工智能(AI)专家参与开发定制的深度学习服务增加了高昂的成本,并阻碍了其在商业领域的广泛应用。本文提出了一种基于web的DL服务自动生成系统。该系统可以在没有人工智能专家参与的情况下生成定制的DL服务。系统的主要原理是采用本体技术对DL领域知识进行组织,并根据用户从前端web页面发布的请求生成目标服务。在实证研究中,对系统的整体场景进行了论证,并对系统的可扩展性进行了评估。结果表明,该系统能够正确地生成定制服务,具有良好的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web-based Automatic Deep Learning Service Generation System by Ontology Technologies
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.
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