Efficient Information Retrieval Using Domain Ontology

Currently most of information is accessed from world wide web from many search engines. These search engine search information on the basis of keywords, and that keyword based search engine searches enormous amount of data. User takes more time to access relevant information. So, in order to overcome the limitation of keyword based search technic of conceptual search is done, i.e. search by meaning instead of search by literal string. Search engine interpret the meaning of user's query and the relations among the concepts that a document contains with respect to a particular domain. In this paper, we proposed Information Retrieval system in which, user enters a query and for that query meaningful concepts are Extracted using domain ontology, For all the terms (expanded and initial query terms), SPARQL query is formed and then it is fired on the knowledge base(ontology) that finds appropriate RDF triples in knowledge Base. In our proposed system we are converting the natural query to sparql query using quepy tool and creating the knowledge base system by using Protege tool.