Disease Intelligence (DI) is based on the acquisition and aggregation offragmented knowledge of diseases at multiple sources all over the world toprovide valuable information to doctors, researchers and information seekingcommunity. Some diseases have their own characteristics changed rapidly atdifferent places of the world and are reported on documents as unrelated andheterogeneous information which may be going unnoticed and may not be quicklyavailable. This research presents an Ontology based theoretical framework inthe context of medical intelligence and country/region. Ontology is designedfor storing information about rapidly spreading and changing diseases withincorporating existing disease taxonomies to genetic information of both humansand infectious organisms. It further maps disease symptoms to diseases and drugeffects to disease symptoms. The machine understandable disease ontologyrepresented as a website thus allows the drug effects to be evaluated ondisease symptoms and exposes genetic involvements in the human diseases.Infectious agents which have no known place in an existing classification buthave data on genetics would still be identified as organisms through theintelligence of this system. It will further facilitate researchers on thesubject to try out different solutions for curing diseases.
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