Maintaining knowledge about temporal intervals
Communications of the ACM
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
Revision Processing in a Stream Processing Engine: A High-Level Design
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient pattern matching over event streams
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Replay-based approaches to revision processing in stream query engines
SSPS '08 Proceedings of the 2nd international workshop on Scalable stream processing system
ZStream: a cost-based query processor for adaptively detecting composite events
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
It's a Streaming World! Reasoning upon Rapidly Changing Information
IEEE Intelligent Systems
An execution environment for C-SPARQL queries
Proceedings of the 13th International Conference on Extending Database Technology
Streaming SPARQL extending SPARQL to process data streams
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
A rule-based language for complex event processing and reasoning
RR'10 Proceedings of the Fourth international conference on Web reasoning and rule systems
Incremental reasoning on streams and rich background knowledge
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Run-time composite event recognition
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Proceedings of the 7th ACM international conference on Distributed event-based systems
RuleML'13 Proceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the Web
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Complex Event Processing (CEP) deals with processing of continuously arriving events with the goal of identifying meaningful patterns (complex events). In existing stream database approaches, CEP is manly concerned by temporal relations between events. This paper advocates for a knowledge-rich CEP with Stream Reasoning capabilities. Secondly, we address the problem of revision in event processing. Events are often assumed to be immutable and therefore always correct. Revision in event processing deals with the circumstance that certain events may be revoked. This necessitates to reconsider complex events which might have been computed based on the original, flawy history as soon as part of that history is corrected. In this paper, we present a novel approach for knowledge-based CEP and Stream Reasoning, including revisions of events too. We present a rule-based language for pattern matching over event streams with a precise syntax and the declarative semantics. We devise an execution model for the proposed formalism, and provide a prototype implementation. Extensive experiments have been conducted to demonstrate the efficiency and effectiveness of our approach.