
Structuring Natural Language to Query Language: A Review
Author(s) -
B Nethravathi,
G. Amitha,
A. Saruka,
T. P. Bharath,
S. Suyagya
Publication year - 2020
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.3873
Subject(s) - computer science , query by example , query language , data control language , sql , rdf query language , data definition language , query optimization , programming language , query expansion , language integrated query , data manipulation language , stored procedure , object query language , database , information retrieval , web search query , web query classification , search engine
SQL (Structured Query Language) is a structured language for specialized purposes used to communicate with the data stored in a database management system. It uses dynamic and sophisticated query commands for processing and controlling data in a database, which can become an obstacle for users with no previous experience. In order to address this constraint, we have analyzed the existing models in Natural Language Processing, which convert a native-language query into an SQL query. Thus, any novice user can use the SQL program and eliminate the need to generate any complex queries. This work is a detailed survey of the existing literature.