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     Research Journal of Applied Sciences, Engineering and Technology


Quranic Verse Extraction base on Concepts using OWL-DL Ontology

Aliyu Rufai Yauri, Rabiah Abdul Kadir, Azreen Azman and Masrah Azrifah Azmi Murad
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
Research Journal of Applied Sciences, Engineering and Technology  2013  23:4492-4498
http://dx.doi.org/10.19026/rjaset.6.3457  |  © The Author(s) 2013
Received: March 02, 2013  |  Accepted: April 17, 2013  |  Published: December 15, 2013

Abstract

In recent years, there has been a global growing demand for Islamic knowledge by both Muslims and non-Muslims. This has brought about a number of automated applications that ease the retrieval of knowledge from the Holy Book, being the major source of Knowledge in Islam. However, the current retrieval methods in the Quranic domain lack adequate semantic search capabilities; they are mostly based on the keywords matching approach. There is a lack of adequate linked data to provide a better description of concepts found in the Holy Quran. In this study we propose an Ontology assisted semantic search system in the Qur’an domain. The system makes use of Quran ontology and various relationships and restrictions. This will enable the user to semantically search for verses related to their query in Al-Quran. The system has improved the search capability of the Holy Quran knowledge to 95 percent accuracy level.

Keywords:

Islamic knowledge, keyword matching, ontology, semantic technology,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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