Quranic verse extraction base on concepts using OWL-DL ontology

Aliyu Rufai Yauri, Abdul Kadir Rabiah, Azreen Azman, Masrah Azrifah Azmi Murad

Research output: Contribution to journalArticle

30 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)4492-4498
Number of pages7
JournalResearch Journal of Applied Sciences, Engineering and Technology
Volume6
Issue number23
Publication statusPublished - 15 Dec 2013
Externally publishedYes

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Ontology
Semantics

Keywords

  • Islamic knowledge
  • Keyword matching
  • Ontology
  • Semantic technology

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)

Cite this

Quranic verse extraction base on concepts using OWL-DL ontology. / Yauri, Aliyu Rufai; Rabiah, Abdul Kadir; Azman, Azreen; Murad, Masrah Azrifah Azmi.

In: Research Journal of Applied Sciences, Engineering and Technology, Vol. 6, No. 23, 15.12.2013, p. 4492-4498.

Research output: Contribution to journalArticle

Yauri, Aliyu Rufai ; Rabiah, Abdul Kadir ; Azman, Azreen ; Murad, Masrah Azrifah Azmi. / Quranic verse extraction base on concepts using OWL-DL ontology. In: Research Journal of Applied Sciences, Engineering and Technology. 2013 ; Vol. 6, No. 23. pp. 4492-4498.
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