Using Semantic Query Analysis Integrating the Big Data: An Approach to Convert Big Data into Smart Data

"Late looks into on big data are demonstrating the difficulties identified with the semantic web: how to connection data on the web and joining the accessible data on web so that is made at high velocity in expansive volume in diverse variability or mixture that guarantee the quality and accuracy of that data so it can comprehend for people and machines. Individuals are investing a considerable measure of time to concentrate, convert and incorporating the data for their scientific reason however their master devices needs data into a particular organization and reshaped data so they can recovered better come about. It will empower the new advancement of the semantic web as joining, preparing, and dissecting all that data gets better and less expensive [3]. The destination to this paper to get the quick query reaction time by reshaping the data without access all data and select the parcel of data which to be look at or to change it into the brilliant data getting sagacity of data. However big data is characterized in term of 3v Velocity, volume and mixed bag yet shrewd data is indicated in term of volume just so it can bode well and might be broke down or settle on better choice for enhancing the result. "