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Abstract
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Article Information:
Quranic Verse Extraction base on Concepts using OWL-DL Ontology
Aliyu Rufai Yauri, Rabiah Abdul Kadir, Azreen Azman and Masrah Azrifah Azmi Murad
Corresponding Author: Aliyu Rufai Yauri
Submitted: March 02, 2013
Accepted: April 17, 2013
Published: December 15, 2013 |
Abstract:
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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.
Key words: Islamic knowledge, keyword matching, ontology, semantic technology, , ,
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Cite this Reference:
Aliyu Rufai Yauri, Rabiah Abdul Kadir, Azreen Azman and Masrah Azrifah Azmi Murad, . Quranic Verse Extraction base on Concepts using OWL-DL Ontology. Research Journal of Applied Sciences, Engineering and Technology , (23): 4492-4498.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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