Abstract
Manufacturing companies need to achieve the integration of processes and systems capable of producing high quality products and services using less and more sustainable resources being safer for employees, customers and communities surrounding, and being able to mitigate environmental and social impacts throughout its whole lifecycle. Industry 4.0 is an enabler of sustainable development, but the convergence of digital transformation and sustainability remains underdeveloped. Big data analysis enables production assets to be monitored in real-time. This data can create a network of interconnected points where access will be possible at any time, thus making interoperability an aspect of outmost importance. In this context, sustainable interoperability relies on exchanging and understanding shared information to sustain the quality and efficiency of interoperability of networked systems when information systems evolution and adaptation take place. The objective of this paper is the development of ontology in OWL language in order to represent the semantic interoperability in an Industry 4.0 environment. Semantic interoperability is the exchange and understanding of data between heterogeneous systems and is implemented in Industry 4.0 through the RAMI 4.0 architectural model. A key part of RAMI 4.0 is the Asset Administration Shell (AAS).
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