Representation of Knowledge through Ontology for Swine Flu Disease in Semiarid Tropical Regions Radhika P1, Varm P. Suresh2, Kalyani N. Lakshmi3, Krishna P. Rama3, Kumar M. Santosh4 1Research Scholar, Rayalaseema University, 2Professor, Dept of CSE, Adikavi Nannaya University, 3Asst Prof, Dept of CSE, VNR VJIET 4Student, Dept of CSE, VNR VJIET Online published on 20 March, 2019. Abstract The practice of using ontologies in medicine is mainly focussed on the representation and re-organization of medical terminologies. Physicians developed their own specialized languages and lexicons to help them store and communicate general medical knowledge and patient-related information efficiently. Such terminologies, optimized for human processing, are characterized by a substantial amount of implicit knowledge. Medical information systems, on the other hand, need to be able to communicate complex and detailed medical concepts unambiguously. This is noticeably a complex task and requires a intense analysis of the composition and concepts of medical terminologies. But it can be accomplished by fabricating medical domain ontologies for demonstrating medical terminology systems. Moreover, there are limited ontologies available in the domain of pulmonary diseases and as such tropical diseases like swine-flu(H1N1) are yet unexplored. Swine-flu is rapidly spreading disease and the information for it available from books, newspaper articles and internet which is unmanageable and unorganized. Therefore, in this paper, we propose to develop a medical ontology based information system for Swine-flu. We have implemented this system using Protégé 4.1 Beta Software and then hosted it onto Apache Tomcat Server. The deployed version can be viewed in XML and RDF formats and DL query can be used where user can get answers to their queries when questioned. Finally, to evaluate the performance functional testing with Fact++ Reasoner is used with ontology browser. Top Keywords Ontology, Swine-flu, Protégé, Fact ++ Reasoner. Top |