Abstract
| Language | English |
|---|---|
| Pages | 1-16 |
| Journal | Informatics for Health and Social Care |
| Volume | online |
| Early online date | 16 Oct 2017 |
| DOIs | |
| Publication status | E-pub ahead of print - 16 Oct 2017 |
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Keywords
- Ontology
- personalisation
- diabetes
- semantics
- OWL
- patient education
Cite this
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A two-staged approach to developing and evaluating an ontology for delivering personalised education to diabetic patients. / Quinn, Susan; Bond, Raymond; Nugent, Chris.
In: Informatics for Health and Social Care, Vol. online, 16.10.2017, p. 1-16.Research output: Contribution to journal › Article
TY - JOUR
T1 - A two-staged approach to developing and evaluating an ontology for delivering personalised education to diabetic patients
AU - Quinn, Susan
AU - Bond, Raymond
AU - Nugent, Chris
PY - 2017/10/16
Y1 - 2017/10/16
N2 - Ontologies are often used in biomedical and health domains to provide a concise and consistent means of attributing meaning to medical terminology. Whilst they are novices in terms of ontology engineering, the evaluation of an ontology by domain specialists provides an opportunity to enhance its objectivity, accuracy and coverage of the domain itself. This paper provides an evaluation of the viability of using ontology engineering novices to evaluate and enrich an ontology that can be used for personalised diabetic patient education. We describe a methodology for engaging healthcare and information technology specialists with a range of ontology engineering tasks. We used 87.8% of the data collected to validate the accuracy of our ontological model. The contributions also enabled a 16% increase in the class size and an 18% increase in object properties. Furthermore, we propose that ontology engineering novices can make valuable contributions to ontology development. Application specific evaluation of the ontology using a semantic-web based architecture is also discussed.
AB - Ontologies are often used in biomedical and health domains to provide a concise and consistent means of attributing meaning to medical terminology. Whilst they are novices in terms of ontology engineering, the evaluation of an ontology by domain specialists provides an opportunity to enhance its objectivity, accuracy and coverage of the domain itself. This paper provides an evaluation of the viability of using ontology engineering novices to evaluate and enrich an ontology that can be used for personalised diabetic patient education. We describe a methodology for engaging healthcare and information technology specialists with a range of ontology engineering tasks. We used 87.8% of the data collected to validate the accuracy of our ontological model. The contributions also enabled a 16% increase in the class size and an 18% increase in object properties. Furthermore, we propose that ontology engineering novices can make valuable contributions to ontology development. Application specific evaluation of the ontology using a semantic-web based architecture is also discussed.
KW - Ontology
KW - personalisation
KW - diabetes
KW - semantics
KW - OWL
KW - patient education
U2 - 10.1080/17538157.2017.1364246
DO - 10.1080/17538157.2017.1364246
M3 - Article
VL - online
SP - 1
EP - 16
JO - Informatics for Health and Social Care
T2 - Informatics for Health and Social Care
JF - Informatics for Health and Social Care
SN - 1753-8157
ER -