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Query cost-reduction for Quranic-Arabic information retrieval using hexadecimal conversion algorithm

Mazlan, Ahmad Akmaluddin and Md Norwawi, Norita and Abdul Wahid, Fauziah and Ismail, Roesnita and Omoush, Ashraf Al (2017) Query cost-reduction for Quranic-Arabic information retrieval using hexadecimal conversion algorithm. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur.

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Digital Quran is a natural language document that use either Arabic font or images of the verses. In the Al-Quran there are 18994 unique words.Thus, the image approach uses a significant amount of memory space.However there is not much work has been done using machine translation (MT) technique for the Quranic representation. This paper will proposed Arabic information retrieval based on keywords search in Hexadecimal Representation using Al-Quran verses as the test case. All Quranic words will transliterate into machine language in the form of binary format after removing diacritic and duplication.This machine language approach in representing Digital Quran reduces the size of storage around 47-54% and retrieval time up to 20% hence reduce the query cost for Arabic information retrieval in general.

Item Type: Conference or Workshop Item (Paper)
Additional Information: eISSN 2289-7402 e-ISBN 978-967-0910-33-8 Organized by: School of Computing, Universiti Utara Malaysia Sintok.
Uncontrolled Keywords: hexadecimal conversion, arabic information retrieval, query cost reduction, digital quran representation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 26 Jul 2017 07:51
Last Modified: 26 Jul 2017 07:51
URI: http://repo.uum.edu.my/id/eprint/22804

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