Application which transforms raw data into higher-order semantic events, using both a mapping towards the DAHCC ontology of the sensor observations and a reasoning component to combine the observations into semantic events. All sources and a brief description on how to run this application can be found here
Application which takes as input a semantified stream of observations on which a predifened shower query is evaluted. When the C-Sparql reasoning module triggers the defined query rule, a new semantic prediction is made for that particular shower event. Both the transformation of the raw data to a semantic format as well as the whole reasoning module are made available here. The application also shows how such rule queries can be registered on the fly.