In today's busy world human's day to day life internet plays major role as a timely friend by assisting him as information provider depending on his basic need such as business, education, communication, knowledge awareness etc but till there exists a question whether the web reached full potential and can it be till smarter and more intelligent. Answering these questions in concern Tim Berners-Lee the web inventor coined the term semantic web as extension of existing web and it is described as a giant global Web of data that is directly consumable and understandable to machines. The Semantic Web is widely recognized as the most important enabling technologies that can help realize a smarter Web and enable Web intelligence. Though intelligence, till it suffers in finding the exact knowledge inference from the user information and mapping query output to expected answer. So in our paper we analyze a measure to reduce the inconvenience by refining the user information as prior processing related to the required environment and work for the exact information knowledge inference as intelligence and query processing to get the expected user query output. Thus over all striving for minimizing the query response time and improving the performance by providing user convenient information. © Research India Publications.