In study to be able to exchange the semantics of information, one first needs to agree on how to explicitly model it. Ontologies are a mechanism for representing such formal and shared domain descriptions. They can be used to annotate data with labels (metadata) indicating their meaning, thereby making their semantics explicit and machine-accessible. For Visualizing the retrieved results, schema visualization techniques are used, which primarily focuses on the structure of the ontology, i.e. its concepts and their relationships. Unlike data models, the fundamental asset of ontologies is their relative independence of particular applications, i.e. ontology consists of relatively generic knowledge that can be reused by different kinds of applications/tasks. In general, for information retrieval, though various techniques are evolved, effective and efficient retrieval mechanisms lack in providing results in a better way. Hence this paper aims at providing a classical ontology based approach for information retrieval and visualization.
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