An Ontological Case Base Engineering Methodology for Diabetes Management

Ontology engineering covers issues related to ontology development and use. In Case Based Reasoning (CBR) system, ontology plays two main roles; the first as case base and the second as domain ontology. However, the ontology engineering literature does not provide adequate guidance on how to build,...

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Veröffentlicht in:Journal of medical systems Jg. 38; H. 8; S. 67 - 14
Hauptverfasser: El-Sappagh, Shaker H., El-Masri, Samir, Elmogy, Mohammed, Riad, A. M., Saddik, Basema
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Boston Springer US 01.08.2014
Springer Nature B.V
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ISSN:0148-5598, 1573-689X, 1573-689X
Online-Zugang:Volltext
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Zusammenfassung:Ontology engineering covers issues related to ontology development and use. In Case Based Reasoning (CBR) system, ontology plays two main roles; the first as case base and the second as domain ontology. However, the ontology engineering literature does not provide adequate guidance on how to build, evaluate, and maintain ontologies. This paper proposes an ontology engineering methodology to generate case bases in the medical domain. It mainly focuses on the research of case representation in the form of ontology to support the case semantic retrieval and enhance all knowledge intensive CBR processes. A case study on diabetes diagnosis case base will be provided to evaluate the proposed methodology.
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ISSN:0148-5598
1573-689X
1573-689X
DOI:10.1007/s10916-014-0067-4