ENHANCING DATABASE INTELLIGENCE: NATURAL LANGUAGE PROCESSING FOR ADVANCED QUERY OPTIMIZATION

Abstract

This document plans to improve database querying via natural language processing (NLP). Here NLP technique is a step of querying database using natural language (NLIDBQ). It is a solution to the problems, that users who are not technical persons face with the traditional methods like SQL because of the intricacy of big data, and also technological changes. The paper suggests three approaches that use hybrid NLP and deep learning, federated learning for privacy, AI which help to conduct the dynamic query optimization and the predictive analysis for the query formulation. The outcomes indicate the systems to be more usable with better user accessibility that makes them more user friendly for the general public across a larger range. This results in the emergence of equality data access with further activity in the area of specific adaptation, and realworld showings trial.