Semantic event processing in ENVISION

  • Authors:
  • Alejandro Llaves;Henry Michels;Patrick Maué;Marcell Roth

  • Affiliations:
  • University of Muenster, Muenster;University of Muenster, Muenster;University of Muenster, Muenster;University of Muenster, Muenster, Germany

  • Venue:
  • Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
  • Year:
  • 2012

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Abstract

The Semantic Sensor Web provides a framework for the interoperable exchange and processing of observation data from heterogeneous sensor networks. Environmental monitoring applications deal with change detection in a spatio-temporal context. Here it is required to analyze vast amounts of sensor data in order to react to specific situations. In the ENVISION project, we explore how to enhance this process of sense&respond by using Complex Event Processing (CEP) techniques. CEP allows defining situations of change in observable variables using event patterns. By combining event processing and semantic technologies we are able to process time-series of observations from different sources and communicate the inferred events to interested communities in near real-time.