Assessment on precision-imprecision essentials in Semantic query processing.

Background: Database systems users’ works with assumptions that stored data represent the correct subset of real world data and make quick decision based on imprecise knowledge in day to day life for survivals. The challenge is to make the system to recover from the imperfections i.e. not simply correction but make compatible. Method: The semantic mapping technology provide ischolar_main for this, but it delays the processing and response time. That is mapping semantics for user input to retrieve the relevant information. Sometimes the information may be irrelevance but for other input it may exact so we should not remove it instead, managed to utilize appropriately to minimize the processing time. Relevance may not be prior defined but also be taken as user feedback based on the obtain output. Result: Processing time will be considerably minimized and user can find convenience nearest relevance needed. Applications: During on line application it will be more convenient for user to find the relevance and get their output satisfactory in an elapsed time.