A big number of concepts have been developed in the past to address the traceability of business data throughout business processes. Business process monitoring and controlling, business activity monitoring, provenance analysis, etc., describe techniques how to capture event-driven data in business processes. Nevertheless, current workflow systems only achieve a technical integration with some applications and services in the enterprise context, but not all of them. Moreover, a common semantic concept in terms of a context model is crucial to assess event-driven changes in a model-specific manner. The presented work develops an extensible semantic context model for business process management and proposes an architecture for integrating event-driven changes from various data sources and augmenting these events, in order to derive appropriate courses of action.