Contemporary applications require the processing of large, high-velocity streams of symbolic events derived from sensor data. A complex event recognition (CER) system processes these symbolic events online and reports the satisfaction of complex event patterns with minimal latency. We extend an Event Calculus dialect optimised for online CER with Allen’s interval algebra, in order to provide more accurate event patterns. We demonstrate the effectiveness of our system on real data streams from maritime situational awareness
Complex Event Recognition (CER for short) has recently gained attention as a mechanism for detecting...
Complex Event Recognition (CER) systems detect event occurrences in streaming time-stamped input usi...
Composite event recognition (CER) is concerned with continuously matching patterns in streams of `ev...
Complex Event Processing (CEP) ’s main purpose is recognizing interesting phenomena upon streams of ...
Abstract—Maritime monitoring is a typical Big Data prob-lem where hundreds of thousands of vessels a...
Complex event recognition (CER) refers to the detection of events in Big Data streams. The paper pre...
Maritime monitoring systems support safe shipping as they allow for the real-time detection of dange...
The concept of event processing is established as a generic computational paradigm in various applic...
L’analyse de flux d’évènements pour reconnaître des comportements complexes prédéfinis (Complex Even...
Abstract—Systems for symbolic event recognition accept as input a stream of time-stamped events from...
Summarization: The concept of event processing is established as a generic computational paradigm in...
Systems for symbolic event recognition detect occurrences of events in streaming input using a set o...
One useful paradigm for monitoring autonomous systems over long periods of time is to be able to mon...
Complex event processing (CEP) systems represent a mainstream approach for processing streams of dat...
Summarization: Events provide a fundamental abstraction for representing time-evolving information. ...
Complex Event Recognition (CER for short) has recently gained attention as a mechanism for detecting...
Complex Event Recognition (CER) systems detect event occurrences in streaming time-stamped input usi...
Composite event recognition (CER) is concerned with continuously matching patterns in streams of `ev...
Complex Event Processing (CEP) ’s main purpose is recognizing interesting phenomena upon streams of ...
Abstract—Maritime monitoring is a typical Big Data prob-lem where hundreds of thousands of vessels a...
Complex event recognition (CER) refers to the detection of events in Big Data streams. The paper pre...
Maritime monitoring systems support safe shipping as they allow for the real-time detection of dange...
The concept of event processing is established as a generic computational paradigm in various applic...
L’analyse de flux d’évènements pour reconnaître des comportements complexes prédéfinis (Complex Even...
Abstract—Systems for symbolic event recognition accept as input a stream of time-stamped events from...
Summarization: The concept of event processing is established as a generic computational paradigm in...
Systems for symbolic event recognition detect occurrences of events in streaming input using a set o...
One useful paradigm for monitoring autonomous systems over long periods of time is to be able to mon...
Complex event processing (CEP) systems represent a mainstream approach for processing streams of dat...
Summarization: Events provide a fundamental abstraction for representing time-evolving information. ...
Complex Event Recognition (CER for short) has recently gained attention as a mechanism for detecting...
Complex Event Recognition (CER) systems detect event occurrences in streaming time-stamped input usi...
Composite event recognition (CER) is concerned with continuously matching patterns in streams of `ev...