An Arabic natural language interface for querying relational databases based on natural language processing and graph theory methods

被引：0

作者：

Bais H. ^{[1
]}

Machkour M. ^{[1
]}

Koutti L. ^{[1
]}

机构：

[1] Team of Engineering of Information Systems, Information Systems and Vision Laboratory Faculty of Sciences, Ibn Zohr University Agadir

来源：

International Journal of Reasoning-based Intelligent Systems | 2018年 / 10卷 / 02期

关键词：

Arabic language; Database; Database structure; Dijkstra algorithm; Extended context free grammar; Graph theory; Knowledge base; Machine learning approach; Natural language interface; Natural language processing;

D O I：

10.1504/IJRIS.2018.092221

中图分类号：

学科分类号：

摘要：

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. © 2018 Inderscience Enterprises Ltd.

引用

页码：155 / 165

页数：10

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