• Aditya Salvi
• Mohammad Sameer
• Ashutosh Kshirsagar
• Hemendra Patil

Information is an important aspect in today’s growing technology. Data in an organised manner can be stored in database and Structured Query Language is used for accessing, managing and processing of the database. The technical terms and specifications used in SQL can be challenging to the non-technical users. It may be difficult even for the experts in database programming language to know the exact schema or database structure, attributes in the different tables, the roles of various entities in the database query and the exact join operations. This may arise the need for the accessibility of the database for the non-technical users using natural language (NL). Natural Language Interface for Database (NLIDB) is an intelligent interface designed for the access of the database. This interface allows users to provide input by typing or giving voice as an input in their natural language and gain access to the database. Intelligent Query System (IQS) designed in this interface, enables the non-technical user to fire queries in their natural language (English). The first step in this system is a conversion of voice input from the user into the text format. Then the parsing of input sentences is done by the system and from the natural language expressions SQL queries are generated. The final output can be obtained by mapping these SQL queries with the database. This system makes the accessing of the information susceptible, reliable and effective.

Natural Language Interface for Database(NLIDB),Intelligent Query System(IQS),Structured Query Language(SQL)

"Voice Controlled Database Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.629-632, June-2019, Available :http://www.jetir.org/papers/JETIR1906672.pdf

"Voice Controlled Database Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp629-632, June-2019, Available at : http://www.jetir.org/papers/JETIR1906672.pdf