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Ontology based and context-aware hospital nurse call optimization

Femke Ongenae (UGent) , Matthias Strobbe (UGent) , Jan Hollez (UGent) , Gregory De Jans (UGent) , Filip De Turck (UGent) , Tom Dhaene (UGent) , Piet Demeester (UGent) and P Verhoeve
Author
Organization
Abstract
In this paper the focus is on how context information can be efficiently modeled with an ontology This ontology can than be used by reasoning algorithms which are based on this context information. This is illustrated with a use case which studies the evolution from a place oriented to a person oriented nurse call system. An ontology was designed which holds the necessary context information. A nurse call algorithm that uses this information was constructed. The CASP Context framework was extended to implement the use case. This framework is bases on an OSGi framework. Rules are formulated to implement the algorithm. OWL was applied to integrate the ontology into the framework. A Web Service interface was designed which allows to insert new information into the Knowledge Base or extract information from it. At last a simulation was set up to show the advantages of the person oriented approach. The results of a performance study are shown as well.

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MLA
Ongenae, Femke, Matthias Strobbe, Jan Hollez, et al. “Ontology Based and Context-aware Hospital Nurse Call Optimization.” CISIS 2008: THE SECOND INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, PROCEEDINGS. Ed. F Xhafa & L Barolli. LOS ALAMITOS: IEEE COMPUTER SOC, 2008. 985–990. Print.
APA
Ongenae, F., Strobbe, M., Hollez, J., De Jans, G., De Turck, F., Dhaene, T., Demeester, P., et al. (2008). Ontology based and context-aware hospital nurse call optimization. In F. Xhafa & L. Barolli (Eds.), CISIS 2008: THE SECOND INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, PROCEEDINGS (pp. 985–990). Presented at the 2nd International Conference on Complex, Intelligent and Software Intensive Systems, LOS ALAMITOS: IEEE COMPUTER SOC.
Chicago author-date
Ongenae, Femke, Matthias Strobbe, Jan Hollez, Gregory De Jans, Filip De Turck, Tom Dhaene, Piet Demeester, and P Verhoeve. 2008. “Ontology Based and Context-aware Hospital Nurse Call Optimization.” In CISIS 2008: THE SECOND INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, PROCEEDINGS, ed. F Xhafa and L Barolli, 985–990. LOS ALAMITOS: IEEE COMPUTER SOC.
Chicago author-date (all authors)
Ongenae, Femke, Matthias Strobbe, Jan Hollez, Gregory De Jans, Filip De Turck, Tom Dhaene, Piet Demeester, and P Verhoeve. 2008. “Ontology Based and Context-aware Hospital Nurse Call Optimization.” In CISIS 2008: THE SECOND INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, PROCEEDINGS, ed. F Xhafa and L Barolli, 985–990. LOS ALAMITOS: IEEE COMPUTER SOC.
Vancouver
1.
Ongenae F, Strobbe M, Hollez J, De Jans G, De Turck F, Dhaene T, et al. Ontology based and context-aware hospital nurse call optimization. In: Xhafa F, Barolli L, editors. CISIS 2008: THE SECOND INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, PROCEEDINGS. LOS ALAMITOS: IEEE COMPUTER SOC; 2008. p. 985–90.
IEEE
[1]
F. Ongenae et al., “Ontology based and context-aware hospital nurse call optimization,” in CISIS 2008: THE SECOND INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, PROCEEDINGS, Catalonia, SPAIN, 2008, pp. 985–990.
@inproceedings{396094,
  abstract     = {In this paper the focus is on how context information can be efficiently modeled with an ontology This ontology can than be used by reasoning algorithms which are based on this context information. This is illustrated with a use case which studies the evolution from a place oriented to a person oriented nurse call system.
An ontology was designed which holds the necessary context information. A nurse call algorithm that uses this information was constructed. The CASP Context framework was extended to implement the use case. This framework is bases on an OSGi framework. Rules are formulated to implement the algorithm. OWL was applied to integrate the ontology into the framework. A Web Service interface was designed which allows to insert new information into the Knowledge Base or extract information from it. At last a simulation was set up to show the advantages of the person oriented approach. The results of a performance study are shown as well.},
  author       = {Ongenae, Femke and Strobbe, Matthias and Hollez, Jan and De Jans, Gregory and De Turck, Filip and Dhaene, Tom and Demeester, Piet and Verhoeve, P},
  booktitle    = {CISIS 2008: THE SECOND INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, PROCEEDINGS},
  editor       = {Xhafa, F and Barolli, L},
  isbn         = {978-0-7695-3109-0},
  language     = {eng},
  location     = {Catalonia, SPAIN},
  pages        = {985--990},
  publisher    = {IEEE COMPUTER SOC},
  title        = {Ontology based and context-aware hospital nurse call optimization},
  year         = {2008},
}

Web of Science
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