Terms interrelationship query expansion to improve accuracy of Quran search

Quran retrieval system is becoming an instrument for users to search for needed information. The search engine is one of the most popular search engines that successfully implemented for searching relevant verses queries. However, a major challenge to the Quran search engine is word ambiguities,...

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Main Author:	Yusuf, Nuhu
Format:	Thesis
Language:	English English English
Published:	2021
Subjects:	QA71-90 Instruments and machines
Online Access:	http://eprints.uthm.edu.my/4933/1/24p%20NUHU%20YUSUF.pdf http://eprints.uthm.edu.my/4933/2/NUHU%20YUSUF%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/4933/3/NUHU%20YUSUF%20WATERMARK.pdf
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id	my-uthm-ep.4933
record_format	uketd_dc
spelling	my-uthm-ep.49332022-02-03T03:11:45Z Terms interrelationship query expansion to improve accuracy of Quran search 2021-06 Yusuf, Nuhu QA71-90 Instruments and machines Quran retrieval system is becoming an instrument for users to search for needed information. The search engine is one of the most popular search engines that successfully implemented for searching relevant verses queries. However, a major challenge to the Quran search engine is word ambiguities, specifically lexical ambiguities. With the advent of query expansion techniques for Quran retrieval systems, the performance of the Quran retrieval system has problem and issue in terms of retrieving users needed information. The results of the current semantic techniques still lack precision values without considering several semantic dictionaries. Therefore, this study proposes a stemmed terms interrelationship query expansion approach to improve Quran search results. More specifically, related terms were collected from different semantic dictionaries and then utilize to get roots of words using a stemming algorithm. To assess the performance of the stemmed terms interrelationship query expansion, experiments were conducted using eight Quran datasets from the Tanzil website. Overall, the results indicate that the stemmed terms interrelationship query expansion is superior to unstemmed terms interrelationship query expansion in Mean Average Precision with Yusuf Ali 68%, Sarawar 67%, Arberry 72%, Malay 65%, Hausa 62%, Urdu 62%, Modern Arabic 60% and Classical Arabic 59%. 2021-06 Thesis http://eprints.uthm.edu.my/4933/ http://eprints.uthm.edu.my/4933/1/24p%20NUHU%20YUSUF.pdf text en public http://eprints.uthm.edu.my/4933/2/NUHU%20YUSUF%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/4933/3/NUHU%20YUSUF%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Malaysia Fakulti Sains Komputer dan Teknologi Maklumat
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	QA71-90 Instruments and machines
spellingShingle	QA71-90 Instruments and machines Yusuf, Nuhu Terms interrelationship query expansion to improve accuracy of Quran search
description	Quran retrieval system is becoming an instrument for users to search for needed information. The search engine is one of the most popular search engines that successfully implemented for searching relevant verses queries. However, a major challenge to the Quran search engine is word ambiguities, specifically lexical ambiguities. With the advent of query expansion techniques for Quran retrieval systems, the performance of the Quran retrieval system has problem and issue in terms of retrieving users needed information. The results of the current semantic techniques still lack precision values without considering several semantic dictionaries. Therefore, this study proposes a stemmed terms interrelationship query expansion approach to improve Quran search results. More specifically, related terms were collected from different semantic dictionaries and then utilize to get roots of words using a stemming algorithm. To assess the performance of the stemmed terms interrelationship query expansion, experiments were conducted using eight Quran datasets from the Tanzil website. Overall, the results indicate that the stemmed terms interrelationship query expansion is superior to unstemmed terms interrelationship query expansion in Mean Average Precision with Yusuf Ali 68%, Sarawar 67%, Arberry 72%, Malay 65%, Hausa 62%, Urdu 62%, Modern Arabic 60% and Classical Arabic 59%.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Yusuf, Nuhu
author_facet	Yusuf, Nuhu
author_sort	Yusuf, Nuhu
title	Terms interrelationship query expansion to improve accuracy of Quran search
title_short	Terms interrelationship query expansion to improve accuracy of Quran search
title_full	Terms interrelationship query expansion to improve accuracy of Quran search
title_fullStr	Terms interrelationship query expansion to improve accuracy of Quran search
title_full_unstemmed	Terms interrelationship query expansion to improve accuracy of Quran search
title_sort	terms interrelationship query expansion to improve accuracy of quran search
granting_institution	Universiti Tun Hussein Malaysia
granting_department	Fakulti Sains Komputer dan Teknologi Maklumat
publishDate	2021
url	http://eprints.uthm.edu.my/4933/1/24p%20NUHU%20YUSUF.pdf http://eprints.uthm.edu.my/4933/2/NUHU%20YUSUF%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/4933/3/NUHU%20YUSUF%20WATERMARK.pdf
_version_	1747831059059310592

Terms interrelationship query expansion to improve accuracy of Quran search

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