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Ontology Reasoning Using Rules in an eHealth Context

  • Dörthe Arndt
  • Ben De Meester
  • Pieter Bonte
  • Jeroen Schaballie
  • Jabran Bhatti
  • Wim Dereuddre
  • Ruben Verborgh
  • Femke Ongenae
  • Filip De Turck
  • Rik Van de Walle
  • Erik Mannens
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9202)

Abstract

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.

Keywords

Notation3 eHealth OWL 2 RL 

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References

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Dörthe Arndt
    • 1
  • Ben De Meester
    • 1
  • Pieter Bonte
    • 2
  • Jeroen Schaballie
    • 2
  • Jabran Bhatti
    • 3
  • Wim Dereuddre
    • 3
  • Ruben Verborgh
    • 1
  • Femke Ongenae
    • 2
  • Filip De Turck
    • 2
  • Rik Van de Walle
    • 1
  • Erik Mannens
    • 1
  1. 1.Ghent University – IMinds – Multimedia LabGhentBelgium
  2. 2.IBCN Research Group, INTECGhent University – IMindsGhentBelgium
  3. 3.Televic HealthcareIzegemBelgium

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