Discovering Qur’anic Knowledge through AQD: Arabic Qur’anic Database, a Multiple Resources Annotation-level Search

Alrehaili, SM orcid.org/0000-0002-4957-2478 and Atwell, E orcid.org/0000-0001-9395-3764 (2018) Discovering Qur’anic Knowledge through AQD: Arabic Qur’anic Database, a Multiple Resources Annotation-level Search. In: Proceedings of ASAR'2018 Arabic Script Analysis and Recognition. ASAR'2018 Arabic Script Analysis and Recognition, 12-14 Mar 2018, The Alan Turing Institute, The British Library, London UK. IEEE , pp. 102-107.

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Item Type: Proceedings Paper
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© 2018 IEEE. This is an author produced version of a paper published in Proceedings of ASAR'2018 Arabic Script Analysis and Recognition . Uploaded in accordance with the publisher's self-archiving policy.

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Keywords: extraction, Quran, query language
Dates:
  • Published: 14 March 2018
  • Accepted: 1 January 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Mar 2018 11:05
Last Modified: 28 Mar 2018 20:13
Status: Published
Publisher: IEEE
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