A Demo for efficient human Attention Detection based on Semantics and Complex Event Processing

Presented at: 9th Extended Semantic Web Conference (ESWC2012)

by Yongchun Xu, Ljiljana Stojanovic, Nenad Stojanovic, Tobias Schuchert

In this paper we present a demo for efficient detecting of visitor’s attention in museum environment based on the application of intelligent complex event processing and semantic technologies. Semantics is used for the correlation of sensors’ data via modeling the interesting situation and the background knowledge used for annotation. Intelligent complex event processing enables the efficient real-time processing of sensor data and its logic-based nature supports a declarative definition of attention situations.

Keywords: Complex Event Processing, Human attention, Ontologies, Sensor


Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2012/paper/demonstation/331


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