Simple-ML: Towards a Framework for Semantic Data Analytics Workflows

Simon Gottschalk, Nicolas Tempelmeier, Günter Kniesel, Vasileios Iosifidis, Besnik Fetahu, Elena Demidova

Abstract: In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of semantic technologies. We present semantic data models that lay the foundation for the framework development and discuss the data analytics workflows based on these models. Furthermore, we present an example instantiation of the Simple-ML data models for a real-world use case in the mobility domain.