Ontology Reasoning Using Rules in an eHealth Context

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9202)


Traditionally, nurse call systems in hospitals are rather simple: patients have a button next to their bed to call a nurse. Which specific nurse is called cannot be controlled, as there is no extra information available. This is different for solutions based on semantic knowledge: if the state of care givers (busy or free), their current position, and for example their skills are known, a system can always choose the best suitable nurse for a call. In this paper we describe such a semantic nurse call system implemented using the EYE reasoner and Notation3 rules. The system is able to perform OWL-RL reasoning. Additionally, we use rules to implement complex decision trees. We compare our solution to an implementation using OWL-DL, the Pellet reasoner, and SPARQL queries. We show that our purely rule-based approach gives promising results. Further improvements will lead to a mature product which will significantly change the organization of modern hospitals.


Notation3 eHealth OWL 2 RL 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Ghent University – IMinds – Multimedia LabGhentBelgium
  2. 2.IBCN Research Group, INTECGhent University – IMindsGhentBelgium
  3. 3.Televic HealthcareIzegemBelgium

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