Information retrieval has a motive for obtaining the meaningful information on the basis of user demand. Information retrieval plays a major role in providing the information from huge amount of documents as per the requirements. Now days, the huge amount of data has been spread all over the world. We acquire data from various sources viz; internet, social media etc. some data is created by ourselves. In our system we have lot of documents stored but it is very difficult to address meaningful document or to find the information which relates our document. It is time consuming task to collect the needed information or document from the dataset available with us. In this paper, the focus is done over the information retrieval by constructing ontology framework. TF-IDF will help to find frequency of word present in document which will help to get the weightage of document. Input will be dataset & user document and the output will be documents matching the user document. The threshold is set to retrieve the accurate documents.

Information retrieval, Feature extraction, term frequency& inverse document frequency, ontology

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