Enabling Intelligent Data Exchange in the Brazilian Energy Sector: A Context-Aware Ontological Approach

The ever-expanding requirement for interoperability between systems, coupled with the growing nu mber of participants in the energy sector, creates a scenario where diverse actors, each with unique realities and specificities, must exchange data and knowledge. This exchange often occurs among significant differences in context. These disparities can lead to many difficulties and misunderstandings, as the information exchanged is susceptible to misinterpretation based on the sender’s and receiver’s contexts. Therefore, this work addresses this issue by proposing an extension to the Open Energy Ontology (OEO) [1] that focuses on context. It investigates how an actor’s understanding is shaped by their context, the methods for inferring this context, and strategies to enhance interoperability. The results obtained demonstrate the potential of the approach proposed by this work.