A Model of a Generic Natural Language Interface for Querying Database | Zendy

Hanane Bais | Zendy; Mustapha Machkour | Zendy; Lahcen Koutti | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Model of a Generic Natural Language Interface for Querying Database

Author(s) -

Hanane Bais,

Mustapha Machkour,

Lahcen Koutti

Publication year - 2016

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2016.02.05

Subject(s) - computer science , interface (matter) , natural language user interface , sql , query language , data control language , database , natural language , data definition language , query by example , natural language processing , view , information retrieval , rdf query language , artificial intelligence , database design , web search query , web query classification , search engine , bubble , maximum bubble pressure method , parallel computing

Extracting information from database is typically done by using a structured language such as SQL (Structured Query Language). But non expert users can’t use this later. Wherefore using Natural Language (NL) for communicating with database can be a powerful tool. But without any help, computers can’t understand this language; that is why it is essential to develop an interface able to translate user’s query given in NL into an equivalent one in Database Query Language (DBQL). This paper presents a model of a generic natural language query interface for querying database. This model is based on machine learning approach which allows interface to automatically improve its knowledge base through experience. The advantage of this interface is that it functions independently of the database language, content and model. Experimentations are realized to study the performance of this interface and make necessary corrections for its amelioration

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research