Semantic CPPS in Industry 4.0
  Cyber-Physical Systems (CPS) play a crucial role in the era of the
4thIndustrial Revolution. Recently, the application of the CPS to industrial
manufacturing leads to a specialization of them referred as Cyber-Physical
Production Systems (CPPS). Among other challenges, CPS and CPPS should be able
to address interoperability issues, since one of their intrinsic requirement is
the capability to interface and cooperate with other systems. On the other
hand, to fully realize theIndustry 4.0 vision, it is required to address
horizontal, vertical, and end-to-end integration enabling a complete awareness
through the entire supply chain. In this context, Semantic Web standards and
technologies may have a promising role to represent manufacturing knowledge in
a machine-interpretable way for enabling communications among heterogeneous
Industrial assets. This paper proposes an integration of Semantic Web models
available at state of the art for implementing a5C architecture mainly targeted
to collect and process semantic data stream in a way that would unlock the
potentiality of data yield in a smart manufacturing environment. The analysis
of key industrial ontologies and semantic technologies allows us to instantiate
an example scenario for monitoring Overall Equipment Effectiveness(OEE). The
solution uses the SOSA ontology for representing the semantic datastream. Then,
C-SPARQL queries are defined for periodically carrying out useful KPIs to
address the proposed aim.
