An analysis of first-order logics of probability
Artificial Intelligence
Snoop: an expressive event specification language for active databases
Data & Knowledge Engineering
Composite Event Specification in Active Databases: Model & Implementation
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
The VLDB Journal — The International Journal on Very Large Data Bases
Complex event processing over uncertain data
Proceedings of the second international conference on Distributed event-based systems
A notion of event quality for contextualized planning and decision support systems
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
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There is a growing need for the use of active systems, systems that act automatically based on events. Applications include business applications, e.g., Business Process Management (BPM), engineering applications, e.g., forecasting networked resources availability, and scientific applications, e.g., utilization of grid resources. Event Composition Systems (e.g., [1, 2, 6]) have been proposed as a tool to analyze data and detect situations that require a response. These are general purpose systems intended for inferring (using rules), in real time, the occurrence of events, based on the occurrence of other events. The declarative nature of rules, combined with an optimized inference mechanism, allows these systems to respond quickly to new and evolving situations by changing a set of rules rather than by making changes in code.