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
A fuzzy model for reasoning about reputation in web services
Proceedings of the 2006 ACM symposium on Applied computing
ICCGI '08 Proceedings of the 2008 The Third International Multi-Conference on Computing in the Global Information Technology (iccgi 2008)
Knowledge representation concepts for automated SLA management
Decision Support Systems
Towards semantic event processing
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Constructing a Context-Aware Service-Oriented Reputation Model Using Attention Allocation Points
SCC '09 Proceedings of the 2009 IEEE International Conference on Services Computing
Standards for complex event processing and reaction rules
RuleML'11 Proceedings of the 5th international conference on Rule-based modeling and computing on the semantic web
Semantic complex event processing
BICA'12 Proceedings of the 5th WSEAS congress on Applied Computing conference, and Proceedings of the 1st international conference on Biologically Inspired Computation
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One of the critical success factors of event-driven systems is the capability of detecting complex events from simple and ordinary event notifications. Complex events which trigger or terminate actionable situations can be inferred from large event clouds or event streams based on their event instance sequence, their syntax and semantics. Using semantics of event algebra patterns defined on top of event instance sequences for event detection is one of the promising approaches for detection of complex events. The developments and successes in building standards and tools for semantic technologies such as declarative rules and ontologies are opening novel research and application areas in event processing. One of these promising application areas is semantic event processing. In this paper we contribute with a conceptual approach which supports the implementation of the vision of semantic event-driven systems; using Semantic Web technologies, benefiting from complex event processing, and ensuring quality through trust and reputation management. All of these novel technologies leads to more intelligent decision supporting systems.