A two-staged approach to developing and evaluating an ontology for delivering personalised education to diabetic patients

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2 Citations (Scopus)

Abstract

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.
LanguageEnglish
Pages1-16
JournalInformatics for Health and Social Care
Volumeonline
Early online date16 Oct 2017
DOIs
Publication statusE-pub ahead of print - 16 Oct 2017

Fingerprint

Education
Information Services
Patient Education
Semantics
Terminology
Technology
Delivery of Health Care
Health

Keywords

  • Ontology
  • personalisation
  • diabetes
  • semantics
  • OWL
  • patient education

Cite this

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title = "A two-staged approach to developing and evaluating an ontology for delivering personalised education to diabetic patients",
abstract = "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.",
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