This paper is published in Volume-3, Issue-4, 2017
Area
Natural Language Query Processing
Author
Soumya M. D, B. A Patil
Org/Univ
KLE Society's Dr. M. S. Sheshgiri College of Engineering and Technology, Belagavi, Karnataka, India
Pub. Date
19 July, 2017
Paper ID
V3I4-1194
Publisher
Keywords
Management System (DBMS), Structured Query Language (SQL), Natural Language (NL), Natural Language Interface for Databases (NLIDB), Natural Language Query Processing (NLQP)

Citationsacebook

IEEE
Soumya M. D, B. A Patil. An Interactive Interface for Natural Language Query Processing to Database Using Semantic Grammar, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Soumya M. D, B. A Patil (2017). An Interactive Interface for Natural Language Query Processing to Database Using Semantic Grammar. International Journal of Advance Research, Ideas and Innovations in Technology, 3(4) www.IJARIIT.com.

MLA
Soumya M. D, B. A Patil. "An Interactive Interface for Natural Language Query Processing to Database Using Semantic Grammar." International Journal of Advance Research, Ideas and Innovations in Technology 3.4 (2017). www.IJARIIT.com.

Abstract

Above and beyond the years field of natural language query processing (NLQP) has seen humangous changes in research as well as methodology. Trending issue within the database management is to provide a high level interface for layman. Major source of data which is generated in many organizations and companies are stored in database which plays important role in IT field. To access these data one need to know SQL language but since layman doesn’t have any knowledge about formal language i.e. SQL a proper interface is required. So an interface for NLQP to database by using semantic grammar deals with design and developing a system which understand the natural language like English and convert English language to SQL queries. So this paper presents thee insight of NLQP system on how to enable communication between human and computers without memorization of complex commands and procedures and also NLQP system is able to intelligently process the user request in reasonable human useable format.