A brand new model for searching the web content for specific information and manufacture precise results aligned with user intention is developed. The present search engine search results mainly upon the semantic information on the market based on web content and thus the machine doesn't perceive the semantic information from the web content and the search engines provide inaccurate results and unreliable results for the given user queries. Clearly, the user might not be happy with these results. The Semantic web technologies help to overcome these limitations. The Semantic search engines are ready to perceive content on the web pages and do logical reasoning on them to perform complicated search queries and come back with corrected results. The relevancy of providing results may be achieved by using the Resource Description Framework (RDF), The RDF includes domain data concerning the web pages and Web Ontology Language (OWL) that helps the search engines to answer the complicated queries in an effective manner.