A Standard Methodology for the Construction of Symptoms Ontology for Diabetes Diagnosis

because of life style, food habits, work environment, tension which are major causes of the diabetes at early stage. Prediabetes is the state that occurs when a person's blood glucose levels are higher than normal but not high enough for a diagnosis of diabetes. This stage may lead to diabetes stage if patient has not followed the proper diet and exercise. In the symptoms ontology for diabetes consists related terms for various types like type1, type 2, prediabetes, gestational diabetes etc. It is a complex disorder that has many possible indicators. These include unexplained weight loss, excessive hunger (polyphagia), thirst (polydipsia), frequent urination (polyuria), dehydration, leg pain when walking (claudication), fatigue, dizziness and itching (pruritus). Awareness of these signs and symptoms can keep people alert to potential onset of diabetes. The above information can be processed intelligently using ontology. The symptoms ontology has the explicit specification of concepts of symptoms and their attributes as causes, which helps to provide the entire scenario of the diabetes diagnosis. Mainly, three basic elements in ontology are concepts, relations, and axioms to formalize the definitions. Concepts represent the underlying domain knowledge and the relation represents the relationship between the concepts and relations should be concentrated while constructing it. The reasons for construction of ontology are [5]: