A two-staged approach to developing and evaluating an ontology for delivering personalized education to diabetic patients. (3rd July 2018)

• Record Type: Journal Article
• Authors: Quinn, Susan; Bond, Raymond; Nugent, Chris
• Is Part Of: Informatics for health & social care. Volume 43:Number 3(2018)
• Page Start: 264
• Page End: 279
• Publication Date: 2018-07-03
• Subjects: Diabetes -- ontology -- personalization; Medicine -- Information services -- Periodicals; Medical informatics -- Periodicals; Medicine -- Data processing -- Periodicals; 025.0661
• DOI: 10.1080/17538157.2017.1364246
• Languages: English
• ISSNs: 1753-8157

Abstract

ABSTRACT: Ontologies are often used in biomedical and health domains to provide a concise and consistent means of attributing meaning to medical terminology. While 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 personalized 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.