SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT

1 code implementation • 18 Jul 2022 • Haoyu Ren, Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler

Therefore, this paper presents a framework called Semantic Low-Code Engineering for ML Applications (SeLoC-ML), built on a low-code platform to support the rapid development of ML applications in IIoT by leveraging Semantic Web technologies.

BIG-bench Machine Learning