An Ontology Based System for Predicting Disease using SWRL Rules

This paper basically provides information about the various diseases to the user with the help of ontology. The developed ontology consists of disease and its relationship with symptoms and SWRL rules (Semantic Web Rule Language) are designed for predicting diseases. The developed ontology system has contains two stages. The first stage is defining the class hierarchy and defining the object and data properties. The second stage is executing rules which extract the disease details with symptoms based on the rule specified. Finally the inferred axioms reflected in the ontology. The various testing shows the successful execution of ontology. The analysis of the results obtained followed by their discussion gives the final risk value to the user of the system.