An Approach for Generating SQL Query Using Natural Language Processing

被引：0
|
作者：
More, Priyanka [1 ]
Kudale, Bharti [2 ]
Deshmukh, Pranali [1 ]
Biswas, Indira N. [1 ]
More, Neha J. [1 ]
Gomes, Francisco S. [1 ]
机构：
[1] Genba Sopanrao Moze CoE, Informat Technol, Pune, Maharashtra, India
[2] Genba Sopanrao Moze CoE, Comp Engn, Pune, Maharashtra, India
来源：
INTELLIGENT COMMUNICATION TECHNOLOGIES AND VIRTUAL MOBILE NETWORKS, ICICV 2019 | 2020年 / 33卷
关键词：
Natural Language Processing; Tokenization; Tagging; Relational database; Semantic analysis; SQL query;
D O I：
10.1007/978-3-030-28364-3_21
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Today's databases of corporations are so huge, that they can only be approached by experienced programmers. Accessing data from a database usually needs notable skills such as knowledge of SQL; however, the most of us who interact with databases every day don't have that background. Hence it's an increase demand for non-technical user to be able to redeem data from databases without having to list SQL queries. And this problem is solved by using approach of Natural Language Processing. This research work presents an approach for querying system for natural language processing. Hence it will dramatically simplify the process of handling with large data and making data available for everyone.
引用
收藏
页码：226 / 230
页数：5
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