Semantic Event-Based Decision Management in Compliance Management for Business Processes

Compliance is a critical enterprise management concern, particularly in business process-oriented organizations. Compliance measures are often implemented using policies, of which decision-making requires high independence from implementation logic and high flexibility. This paper motivates the use of an event-centric approach for modeling policy decision-making. We introduce an event ontology part of a policy and rules ontology for compliance modeling and enforcement. The policy and rules ontology is able to take decisions depending on the compliant state of an enterprise model. In our work, events are used to support modeling complex decision-making patterns, propagation and controlling (decision-making monitoring and analysis). This paper shows how event-oriented decision making architectures can be built for compliance management and integrates such an architecture in a platform for semantic business process management.