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

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

Sameer M. Alrehaili, Eric Atwell and IEEE
2018 IEEE 2ND INTERNATIONAL WORKSHOP ON ARABIC AND DERIVED SCRIPT ANALYSIS AND RECOGNITION (ASAR), pp.102-107
01/01/2018

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Interdisciplinary Applications Language & Linguistics Linguistics Science & Technology Social Sciences Technology
This paper introduces a novel resource for Arabic Qur'anic textual annotations: AQD, Arabic Qur'anic Database, providing an annotation-level search that draws on a number of available resources in a single query. In addition, it allows implementing a set of queries as rewrite rules, which is performed in a recursive way. The experiments show that our AQD is able to discover knowledge from very simple to very complex queries.

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