A Review of Ontology based information retrieval

Information retrieval from unstructured contents using ontology has become an activity now a day. We attempt to review some of such activities. Unstructured content typically includes text, speech, music, video, or still images. Vocabulary mismatch and fuzzy search goals are the common problems encounters in the traditional information retrieval (IR) systems. The prime reason is the way the search concepts are expressed. The quality of search result and the usage of the system has mainly affected the keyword-based retrieval in multimedia documents. Perception and the representation of the user information needs affect the personalized search results. We propose to capture the user information needs using ontology using a world knowledge base and the user's local instance repository. A care should be taken that irrelevant concepts are not getting associated and matched and that relevant concepts will not be discarded. This can be achieved by using ontology. Many researchers have been proposed with regard to information retrieval using ontologies.