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Ontology reasoning using rules in an eHealth context

Dörthe Arndt (UGent) , Ben De Meester (UGent) , Pieter Bonte (UGent) , Jeroen Schaballie (UGent) , Jabran Bhatti (UGent) , Wim Dereuddre, Ruben Verborgh (UGent) , Femke Ongenae (UGent) , Filip De Turck (UGent) , Rik Van de Walle (UGent) , et al.
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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, OWL 2 RL, eHealth, IBCN

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Chicago
Arndt, Dörthe, Ben De Meester, Pieter Bonte, Jeroen Schaballie, Jabran Bhatti, Wim Dereuddre, Ruben Verborgh, et al. 2015. “Ontology Reasoning Using Rules in an eHealth Context.” In Lecture Notes in Computer Science, 9202:465–472. Berlin, Germany: SPRINGER-VERLAG BERLIN.
APA
Arndt, D., De Meester, B., Bonte, P., Schaballie, J., Bhatti, J., Dereuddre, W., Verborgh, R., et al. (2015). Ontology reasoning using rules in an eHealth context. LECTURE NOTES IN COMPUTER SCIENCE (Vol. 9202, pp. 465–472). Presented at the 9th International Symposium on Rule Markup and Modeling Initiative (RuleML), Berlin, Germany: SPRINGER-VERLAG BERLIN.
Vancouver
1.
Arndt D, De Meester B, Bonte P, Schaballie J, Bhatti J, Dereuddre W, et al. Ontology reasoning using rules in an eHealth context. LECTURE NOTES IN COMPUTER SCIENCE. Berlin, Germany: SPRINGER-VERLAG BERLIN; 2015. p. 465–72.
MLA
Arndt, Dörthe et al. “Ontology Reasoning Using Rules in an eHealth Context.” Lecture Notes in Computer Science. Vol. 9202. Berlin, Germany: SPRINGER-VERLAG BERLIN, 2015. 465–472. Print.
@inproceedings{7034224,
  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.},
  author       = {Arndt, Dörthe and De Meester, Ben and Bonte, Pieter and Schaballie, Jeroen and Bhatti, Jabran and Dereuddre, Wim and Verborgh, Ruben and Ongenae, Femke and De Turck, Filip and Van de Walle, Rik and Mannens, Erik},
  booktitle    = {LECTURE NOTES IN COMPUTER SCIENCE},
  isbn         = {978-3-319-21542-6},
  issn         = {0302-9743},
  keywords     = {Notation3,OWL 2 RL,eHealth,IBCN},
  language     = {eng},
  location     = {Berlin, Germany},
  pages        = {465--472},
  publisher    = {SPRINGER-VERLAG BERLIN},
  title        = {Ontology reasoning using rules in an eHealth context},
  url          = {http://dx.doi.org/10.1007/978-3-319-21542-6_31},
  volume       = {9202},
  year         = {2015},
}

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