Abstract: The paper presents a comprehensive theoretical framework for modeling events and semantics of event processing at a level of abstraction that captures the different processes in industrial applications but is not limited to a specific application domain. The model, called Process-oriented Event Model (PoEM), provides a formal approach to model real-world entities and their interrelationships, and specifies the process of moving from data streams to event detection to event-based goal planning. The model links event detection to states, actions, and roles, enabling event notification, filtering, context awareness and escalation. PoEM defines event and non-event concepts and combines information from them to build an event processing workflow. Usage of the PoEM model is illustrated in case studies from the oil and gas industry and maritime piracy events.
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