  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.
