Ontology-Based Event Detection for Wastewater Treatment.

Event detection systems can help detecting incidents of interest that occur within data streams generated by interconnected sensor devices. Corresponding personnel need to be notified about the incidents so that appropriate actions can be taken to address them. One of the typical use cases of event detection systems is monitoring the quality of recycling water during wastewater treatment. Existing event detection systems in this domain usually focus on dealing with low level primitive events and thus are not capable of detecting more complex events which contain relations and background knowledge. In this paper, we present a framework for detecting complex events with background knowledge in event streams, by using ontology and query rewriting techniques.