2017International Journal of Advanced Research in Computer ScienceOpen access

Survey on Natural Language Database Interfaces

Dr.Shailender Kumar, Abhilasha Gautam, Satvic Mittal

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Abstract

This is the era of information technology and most of our data or information is stored in the form of databases on our computers. To extract information from our database we need to use a structured language such as SQL (Structured Query Language). Thus only the person who has a good knowledge of the SQL language can interact with the database. Natural language can be used to retrieve the information from the database in an easier way. But computers cannot understand the natural language without any external help. Thus Natural language database interfaces(NLDBI) were developed, that converts the query given by the user in natural language into a language that is understood by the computer's database management system i.e. Database Query Language(DBQL). In this paper, we present a literature review of various Natural Language Database interfaces which have been built over the time and the new techniques that were added every time to make the interface faster than before. Then we present some future work that can be done in the field of Natural language Database interfaces to make them faster, reliable, robust and easier.

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What this paper is about

This is the era of information technology and most of our data or information is stored in the form of databases on our computers. To extract information from our database we need to use a structured language such as SQL (Structured Query Language). Thus only the person who has a good knowledge of the SQL language can interact with the database. Natural language can be used to retrieve the information from the database in an easier way. But computers cannot understand the natural language without any external help. Thus Natural language database interfaces(NLDBI) were developed, that converts the query given by the user in natural language into a language that is understood by the computer's database management system i.e. Database Query Language(DBQL). In this paper, we present a literature review of various Natural Language Database interfaces which have been built over the time and the new techniques that were added every time to make the interface faster than before. Then we present some future work that can be done in the field of Natural language Database interfaces to make them faster, reliable, robust and easier.

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Available abstract

This is the era of information technology and most of our data or information is stored in the form of databases on our computers. To extract information from our database we need to use a structured language such as SQL (Structured Query Language). Thus only the person who has a good knowledge of the SQL language can interact with the database. Natural language can be used to retrieve the information from the database in an easier way. But computers cannot understand the natural language without any external help. Thus Natural language database interfaces(NLDBI) were developed, that converts the query given by the user in natural language into a language that is understood by the computer's database management system i.e. Database Query Language(DBQL). In this paper, we present a literature review of various Natural Language Database interfaces which have been built over the time and the new techniques that were added every time to make the interface faster than before. Then we present some future work that can be done in the field of Natural language Database interfaces to make them faster, reliable, robust and easier.

Key concepts: Computer science, Data definition language, SQL, Data control language, Natural language user interface, Query language, Natural language, Database

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