Abstract
With the increasing diffusion of the Industry 4.0 paradigm, the role of industrial training is becoming more and more relevant. Thanks to new technologies and innovative business processes now available, a great amount of data can be collected from the shop floor and elaborated in order to provide a real-time evaluation of the expertise level of the workers. In this regard, the paper aims at presenting and expanding the Training Data Evaluation Tool previously developed by the authors. Results achieved pave the way towards the final deployment of the Training Evaluation suite of Ontologies through an integrated software stack using semantic technologies for knowledge management along with a Training Analytics Model. Integration tests of the used technologies have been carried out using real industrial data showing the feasibility and robustness of the proposed solution.
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