Ontology reasoning using rules in an eHealth context
(2015)
RULE TECHNOLOGIES: FOUNDATIONS, TOOLS, AND APPLICATIONS.
In Lecture notes in computer science
9202.
p.465-472
- Author
- 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) and Erik Mannens (UGent)
- Organization
- 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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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-7034224
- MLA
- Arndt, Dörthe, et al. “Ontology Reasoning Using Rules in an EHealth Context.” RULE TECHNOLOGIES: FOUNDATIONS, TOOLS, AND APPLICATIONS, edited by N. Bassiliades et al., vol. 9202, Springer, 2015, pp. 465–72, doi:10.1007/978-3-319-21542-6_31.
- APA
- Arndt, D., De Meester, B., Bonte, P., Schaballie, J., Bhatti, J., Dereuddre, W., … Mannens, E. (2015). Ontology reasoning using rules in an eHealth context. In N. Bassiliades, G. Gottlob, F. Sadri, A. Paschke, & D. Roman (Eds.), RULE TECHNOLOGIES: FOUNDATIONS, TOOLS, AND APPLICATIONS (Vol. 9202, pp. 465–472). https://doi.org/10.1007/978-3-319-21542-6_31
- Chicago author-date
- 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 RULE TECHNOLOGIES: FOUNDATIONS, TOOLS, AND APPLICATIONS, edited by N. Bassiliades, G. Gottlob, F. Sadri, A. Paschke, and D. Roman, 9202:465–72. Springer. https://doi.org/10.1007/978-3-319-21542-6_31.
- Chicago author-date (all authors)
- Arndt, Dörthe, Ben De Meester, Pieter Bonte, Jeroen Schaballie, Jabran Bhatti, Wim Dereuddre, Ruben Verborgh, Femke Ongenae, Filip De Turck, Rik Van de Walle, and Erik Mannens. 2015. “Ontology Reasoning Using Rules in an EHealth Context.” In RULE TECHNOLOGIES: FOUNDATIONS, TOOLS, AND APPLICATIONS, ed by. N. Bassiliades, G. Gottlob, F. Sadri, A. Paschke, and D. Roman, 9202:465–472. Springer. doi:10.1007/978-3-319-21542-6_31.
- 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. In: Bassiliades N, Gottlob G, Sadri F, Paschke A, Roman D, editors. RULE TECHNOLOGIES: FOUNDATIONS, TOOLS, AND APPLICATIONS. Springer; 2015. p. 465–72.
- IEEE
- [1]D. Arndt et al., “Ontology reasoning using rules in an eHealth context,” in RULE TECHNOLOGIES: FOUNDATIONS, TOOLS, AND APPLICATIONS, Berlin, Germany, 2015, vol. 9202, pp. 465–472.
@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 = {{RULE TECHNOLOGIES: FOUNDATIONS, TOOLS, AND APPLICATIONS}},
editor = {{Bassiliades, N. and Gottlob, G. and Sadri, F. and Paschke, A. and Roman, D.}},
isbn = {{9783319215419}},
issn = {{0302-9743}},
keywords = {{Notation3,OWL 2 RL,eHealth,IBCN}},
language = {{eng}},
location = {{Berlin, Germany}},
pages = {{465--472}},
publisher = {{Springer}},
title = {{Ontology reasoning using rules in an eHealth context}},
url = {{http://doi.org/10.1007/978-3-319-21542-6_31}},
volume = {{9202}},
year = {{2015}},
}
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