Title: An independent-domain natural language interface for multimodel databases

Authors: Hanane Bais; Mustapha Machkour; Lahcen Koutti

Addresses: Team of Engineering of Information Systems, Information Systems and Vision Laboratory Faculty of Sciences, Ibn Zohr University Agadir, Morocco ' Team of Engineering of Information Systems, Information Systems and Vision Laboratory Faculty of Sciences, Ibn Zohr University Agadir, Morocco ' Team of Engineering of Information Systems, Information Systems and Vision Laboratory Faculty of Sciences, Ibn Zohr University Agadir, Morocco

Abstract: Databases are gaining prime importance in the world of modern computing. Retrieving information stored in databases required the knowledge of the database query languages such as structured query language (SQL). However, learning this language can be difficult for non-expert users. Hence, the using of natural language is a very easy and convenient method that can provide powerful improvements to the use of data stored in databases. In this paper, we present the architecture of an intelligent natural language interface for a multimodel database. This interface functions independently of database domain, language and model. The using of machine learning approach helps our system to improve automatically its knowledge base through experience.

Keywords: databases; natural language processing; NLP; intermediate XML logical query; IXLQ; extended context free grammar; ECFG; intelligent interface.

DOI: 10.1504/IJCISTUDIES.2019.102547

International Journal of Computational Intelligence Studies, 2019 Vol.8 No.3, pp.206 - 222

Received: 14 Mar 2018
Accepted: 08 Jul 2018
Published online: 30 Sep 2019 *

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