Data Analytics for Health and Connected Care

Connecting Data Analytics to Healthcare Knowledge in an IoT environment

Higher-order Event Generation

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

Semantic Rule Mining

Application which takes as input the full protego KG and tries to derive usefull rules to detect a life-style activity. The rule derivation process is performed by the semantic rule miner INK. All sources and a brief description on how to run this application can be found here

Semantic Stream Reasoning

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.