An Ontology Based System for Predicting Disease Using SWRL Rules

Abstract

This paper basically provides information about diseases with the help of ontology.  The developed system uses disease and its relationship with symptoms and SWRL rules (Semantic Web Rule Language) for predicting diseases. The architecture of the developed system provides the overall working of the system. The system has contains two stages. The first stage is defining the class hierarchy and defining the object and data properties. The final stage is executing rules which give the disease name based on the symptoms given in the rule. 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.