An Arabic natural language interface for querying relational databases based on natural language processing and graph theory methods Online publication date: Mon, 11-Jun-2018
by Hanane Bais; Mustapha Machkour; Lahcen Koutti
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 10, No. 2, 2018
Abstract: Nowadays, databases represent a great source of information. To extract information from these databases, the user needs to write queries using database query languages, such as structured query language (SQL). Generally, for using this language, this user must know the database structure. However, this task can be difficult for non-expert users. In that, the use of natural language to extract data from the database can be an important method. The problems in using natural language query are that it does not give any specification about the path access corresponding to the required data. In this paper, a model of a natural language interface for databases is presented. This interface allows the user to extract data from a database by using Arabic language and it obviates the need for users to know the database structure. Also, it can function independently of the database domain and it can to improve its knowledge base through experience.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Reasoning-based Intelligent Systems (IJRIS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com