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Title: Question answering systems: the story till the Arabic linked data

Authors: Abdelghani Bouziane; Djelloul Bouchiha; Noureddine Doumi; Mimoun Malki

Addresses: EEDIS Lab, Faculty of Sciences, Dep. of Computer Science, University Djillali Liabes of Sidi Bel-abbes., Algeria ' Dept. Mathematics and Computer Science, Inst. Sciences and Technologies, Ctr Univ Naama, Algeria ' Department of Computer Science, University of Saida, Algeria ' LabRI-Sidi Bel-Abbes, Ecole Supérieure en Informatique de Sidi Bel-abbes, Algeria

Abstract: Question answering system (QAS) is essential to satisfy the need to query information available in various formats, including structured data (ontology, databases) or unstructured data (document, web). The QAS provides a correct response to the question asked by a user in natural language. QAS uses natural language processing (NLP) techniques to interface with the system user. In this paper, we survey various QAS such as Natural Language Interfacing to DataBases (NLIDB), ontology-based question answering and question answering systems for unstructured data. We give also statistics and analysis. This can help researchers to choose an appropriate solution to their issues. In case of insufficiency, they can propose new systems for complex queries and adapt or reuse QAS techniques for specific research issues. We give also our point of view on how can QAS deal with Arabic linked data.

Keywords: question answering system; QAS; natural language processing; NLP; information retrieval; SPARQL; Semantic Web; Arabic linked data; Natural Language Interfacing to DataBases; NLIDB.

DOI: 10.1504/IJAISC.2017.10005155

International Journal of Artificial Intelligence and Soft Computing, 2017 Vol.6 No.1, pp.24 - 42

Received: 26 Dec 2015
Accepted: 04 Jul 2016

Published online: 21 May 2017 *

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