Home|Journals|Articles by Year|Audio Abstracts RSS - TOC

JJCIT. 2018; 4(2): 102-115

Toward an Arabic Question Answering System over Linked Data

Abdelghani BOUZIANE, Djelloul BOUCHIHA, Noureddine DOUMI, Mimoun MALKI.


The increasing of interest in Arabic natural language processing and semantic Web research involves an emerging need to the development of new Question Answering Systems (QAS). These systems allow users, who ignore both the structure of data and the complicated query languages, to ask a question in Arabic natural language and get the relevant answer. However, most existing QA systems focused on English and Latin-based languages. Less effort has been concentrated on the Arabic language which belongs to "Right to Left Semitic Languages". This work is an early version of a new domain-independent Arabic question answering system over linked data, which aims to particularly help Arab users to explore the Arabic semantic Web based on Arabic ontology. We describe with sufficient details the different modules of our proposed system, which uses language parser, finite state automaton and semantic Web techniques to linguistically process and answer the Arabic natural language question. Experiments have been carried out to evaluate and show efficiency of the proposed system.

Key words: Question answering system, Natural language processing (NLP), Linked Data, Arabic language, Semantic Web, Ontology, SPARQL.

Full-text options

Share this Article

Online Article Submission
• ejmanager.com

ejPort - eJManager.com
Review(er)s Central
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.