An approach based on events for treating the late tuning problem in interactive live TV shows
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
Enhancing event processing networks with semantics to enable self-managed SEE federations
Proceedings of the 3rd International Workshop on Monitoring, Adaptation and Beyond
An adaptive event stream processing environment
PhD '12 Proceedings of the on SIGMOD/PODS 2012 PhD Symposium
Fault-tolerant complex event processing using customizable state machine-based operators
Proceedings of the 15th International Conference on Extending Database Technology
Incorporating semantic knowledge into dynamic data processing for smart power grids
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
A query-matching mechanism over out-of-order event stream in IOT
International Journal of Ad Hoc and Ubiquitous Computing
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In this paper, we present a powerful logical encoding of complex event patterns into Transaction Logic programs. Complex Event Processing (CEP) deals with finding composed events and has useful applications in areas ranging from agile business and enterprise processes management, financial market applications to active Web and service oriented computation. Many systems for event processing have ad-hoc semantics with unexpected behaviors. Hence formal logical semantics is an important requirement for event-driven reactive systems. On the other hand, many logic-based approaches for CEP (based on formal semantics) fail, due to their inability to compute complex events in the data-driven fashion. Our approach enables both logic-based and data-driven complex event detection. Moreover, the proposed backward chaining approach allows for very efficient reasoning of complex events and actions triggered by these events.