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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 and Nugent, Chris (2017) A two-staged approach to developing and evaluating an ontology for delivering personalised education to diabetic patients. Informatics for Health and Social Care, online . pp. 1-16. [Journal article]

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URL: http://www.tandfonline.com/doi/abs/10.1080/17538157.2017.1364246?journalCode=imif20

DOI: 10.1080/17538157.2017.1364246


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.

Item Type:Journal article
Keywords:Ontology, personalisation, diabetes, semantics, OWL, patient education
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:38865
Deposited By: Dr Raymond Bond
Deposited On:25 Oct 2017 09:48
Last Modified:25 Oct 2017 09:48

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