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Quranic verses extraction base on concepts using OWL-DL ontology


Yauri, Aliyu Rufai and Abdul Kadir, Rabiah and Azman, Azreen and Azmi Murad, Masrah Azrifah (2013) Quranic verses extraction base on concepts using OWL-DL ontology. Research Journal of Applied Sciences, Engineering and Technology, 6 (23). pp. 4492-4498. ISSN 2040-7459; ESSN: 2040-7467


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.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Maxwell Science Publications
Keywords: Islamic knowledge; Keyword matching; Ontology; Semantic technology
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 15 May 2015 04:20
Last Modified: 26 Oct 2015 02:31
URI: http://psasir.upm.edu.my/id/eprint/30655
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