The conceptualization of the breast cancer domain using ontology is an emerging area of intelligent decision support system. Eventhough this is not the replacement for clinicians, this intelligent system can support them in an effective way during diagnosis. As the system requires data from clinicians and patients, the unorganized data is gathered and processed. As the input data are unstructured, it is hard to gather information and share knowledge from that. An adaptive questionnaire is used to gather data to optimize the result of the system. The paper discusses the prototype model which uses various ontology as the knowledge base, java engine to provide information to modeller and a reasoner to take effective decision. SPARQL is used to retrieve required information as per the conditions. Protege that supports OWL representation provides a platform to build concepts and relationships. How ontology is representing the details of Breast cancer guidelines and how instances of the class are identified using the query are shown in this paper.
