Evaluation and Evolution of NAOnto- A Profile Ontology of Native American Diabetes Patients

Abstract

Diabetes is one of the deadliest diseases worldwide. Its prevalence is highest amongst the American Indian (AI) community. The existing ontology-based self-management tools for native Americans lack comprehensiveness and are not well evaluated. Hence in this paper, we focus on creating and evaluating a profile ontology for the American Indian diabetic patients which can lead to the creation of personalized self-management tools so the community can better manage this disease. Our approach is composed of creating a profile ontology for the American Indian community by acquiring their cultural, geographical, food intake and related information, and evaluating the correctness of the created ontology with regards to the OQuaRE evaluation framework. The quality model is divided into multiple dimensions each of which is further divided to create a series of quality metrics for evaluation. In addition, we also evaluate the performance of the Ontology using various available tools like Oops, Onto Debugger.