Quranic verses extraction base on concepts using OWL-DL ontology
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 retriev...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Maxwell Science Publications
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30655/ http://psasir.upm.edu.my/id/eprint/30655/1/Quranic%20verses%20extraction%20base%20on%20concepts%20using%20OWL.pdf |
| _version_ | 1848846739933495296 |
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| author | Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah |
| author_facet | Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah |
| author_sort | Yauri, Aliyu Rufai |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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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| first_indexed | 2025-11-15T09:07:30Z |
| format | Article |
| id | upm-30655 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:07:30Z |
| publishDate | 2013 |
| publisher | Maxwell Science Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-306552015-10-26T02:31:54Z http://psasir.upm.edu.my/id/eprint/30655/ Quranic verses extraction base on concepts using OWL-DL ontology Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah 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. Maxwell Science Publications 2013 Article NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30655/1/Quranic%20verses%20extraction%20base%20on%20concepts%20using%20OWL.pdf 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 http://maxwellsci.com/jp/abstract.php?jid=RJASET&no=362&abs=28 |
| spellingShingle | Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah Quranic verses extraction base on concepts using OWL-DL ontology |
| title | Quranic verses extraction base on concepts using OWL-DL ontology |
| title_full | Quranic verses extraction base on concepts using OWL-DL ontology |
| title_fullStr | Quranic verses extraction base on concepts using OWL-DL ontology |
| title_full_unstemmed | Quranic verses extraction base on concepts using OWL-DL ontology |
| title_short | Quranic verses extraction base on concepts using OWL-DL ontology |
| title_sort | quranic verses extraction base on concepts using owl-dl ontology |
| url | http://psasir.upm.edu.my/id/eprint/30655/ http://psasir.upm.edu.my/id/eprint/30655/ http://psasir.upm.edu.my/id/eprint/30655/1/Quranic%20verses%20extraction%20base%20on%20concepts%20using%20OWL.pdf |