Matches in ScholarlyData for { ?s ?p In this paper we present a novel approach for achieving energy efficiency in public building (especially sensor-enabled offices) based on the application of the intelligent complex event processing and semantic technologies. In the nutshell of the approach is an efficient method for realizing real-time situational awareness that helps in recognizing, in real-time, the situations where a more efficient energy consumption is possible and reaction on those opportunities promptly. Semantics allows a proper contextualization of the sensor data (its abstract interpretation) whereas complex event processing enables the efficient real-time processing of sensor data and its logic-based nature supports a declarative definition of the situations of interests. The approach has been implemented in the iCEP framework for the intelligent Complex Event Reasoning, developed by authors. The results from a preliminary evaluation study are very promising: the approach enables a very precise real-time detection of the office occupancy situations that limit the operation of the lighting system based on the actual use of the space. }
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- 56 abstract "In this paper we present a novel approach for achieving energy efficiency in public building (especially sensor-enabled offices) based on the application of the intelligent complex event processing and semantic technologies. In the nutshell of the approach is an efficient method for realizing real-time situational awareness that helps in recognizing, in real-time, the situations where a more efficient energy consumption is possible and reaction on those opportunities promptly. Semantics allows a proper contextualization of the sensor data (its abstract interpretation) whereas complex event processing enables the efficient real-time processing of sensor data and its logic-based nature supports a declarative definition of the situations of interests. The approach has been implemented in the iCEP framework for the intelligent Complex Event Reasoning, developed by authors. The results from a preliminary evaluation study are very promising: the approach enables a very precise real-time detection of the office occupancy situations that limit the operation of the lighting system based on the actual use of the space".