An ontology-based system for chronic tropical diseases using the Protégé-OWL tool
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Date
2018-12
Authors
Alamu, Femi
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Songklanakarin Journal of Science and Technology http://rdo.psu.ac.th/sjstweb/atricleInPress.php
Abstract
This paper presents the development of an ontology for chronic tropical diseases (CTD). As observed in most studies
conducted on CTD domain knowledge, the existing ontologies on CTD do not provide a unified structural model for
understanding and sharing this domain knowledge which has made it difficult for medical experts to share a common
understanding of this domain. This necessitated the need for an ontology-based system to address the challenges. The research data used in this study were obtained from CTD domain experts. Using formal concept analysis, the acquired knowledge was analyzed to obtain the taxonomy entities of CTD. The obtained entities were used to develop the Ontology of Indigenous Chronic Tropical Diseases (OICTD) through the Protégé tool. The developed OICTD was evaluated and compared with the existing Ontology for Tropical Diseases Management (OTDM) using precision, recall and F-measure as performance metrics. The analysis of the acquired knowledge yielded the ontology entities of 936 axioms, 12 classes, 713 logical axioms, 29 object properties, and 182 individuals. The developed OICTD showed a better performance with 97% average precision, 100% average recall, and 98% average F-measure in comparison with the existing OTDM which assumed 78% average precision, 83% average recall, and 80% average F-measure.
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Keywords
ontology, formal concept analysis, METHONTOLOGY, precision, recall and F-measure