title: An ontological case base engineering methodology for diabetes management.
abstract: 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.
authors: Department of Mathematics, College of Science, King Saud University, Riyadh, KSA, Saudi Arabia.
authors: Shaker H
authors: SH
authors: El-Sappagh
authors: Samir
authors: S
authors: El-Masri
authors: Mohammed
authors: M
authors: Elmogy
authors: A M
authors: AM
authors: Riad
authors: Basema
authors: B
authors: Saddik
mesh_terms: D001185:Artificial Intelligence; D003920:Diabetes Mellitus / Q000175:diagnosis* / Q000628:therapy*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D051188:Knowledge Bases; D012660:Semantics; D018875:Vocabulary, Controlled