Enhancing event processing networks with semantics to enable self-managed SEE federations

As a common platform to easily exchange information, the Web is already overwhelmed with events which need to be processed in timely fashion. The opportunity to detect event occurrences in real time at a Web scale while correlating events from different sources has the potential to enable powerful applications. Recent contributions in the area of event processing provide a generic framework, usually referred to as Event Processing Networks. This paper proposes a grounding of the Event Processing Network conceptual model on Semantic Web technologies, in order to realize Semantically-enhanced Event Processing Networks (SEPNs). As a use case, the paper describes the integration of SEPNs with a Semantic Execution Environment (SEE), in order to achieve a suitable level of monitoring and self-management. While relying on the proposed monitoring ontology, we show how SEPNs are capable of observing events at the level of both single and federated SEE deployments and of responding accordingly.