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Industrial manufacturing processes representation is a key challenge for leveraging interoperability among business partners. The Semantic representation of information enables the creation of intelligent systems, which can interpret and understand potentially automated tasks, harnessing added-value decision-making processes. Particularly, the Semantic Web can provide a cutting-edge formal representation and knowledge-driven set of technologies to enable automation of industrial manufacturing processes. This paper presents an ontology and a proof-of-concept implementation to describe the automation of decision-making processes which model human behavior, representing the interaction with the overall environment. The model is based on different situations a problem might yield and the correspondent behavioural responses which should be generated. Using the concept of “Situation” as the …