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Evaluation of Quranic text retrieval system based on manually indexed topics

This paper investigates the effectiveness of a state of the art information retrieval (IR) system in the verse retrieval problem for Quranic text. The evaluation is based on manually indexed topics of the Quran that provides both the queries and the relevance judgments. Furthermore, the system is ev...

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Main Authors: Sultan, Ammar Mohammed, Azman, Azreen, Abdul Kadir, Rabiah, Abdullah, Muhamad Taufik
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Online Access:http://psasir.upm.edu.my/id/eprint/48235/1/Evaluation%20of%20Quranic%20text%20retrieval%20system%20based%20on%20manually%20indexed%20topics.pdf
http://psasir.upm.edu.my/id/eprint/48235/
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spelling my.upm.eprints.482352019-05-08T06:43:58Z http://psasir.upm.edu.my/id/eprint/48235/ Evaluation of Quranic text retrieval system based on manually indexed topics Sultan, Ammar Mohammed Azman, Azreen Abdul Kadir, Rabiah Abdullah, Muhamad Taufik This paper investigates the effectiveness of a state of the art information retrieval (IR) system in the verse retrieval problem for Quranic text. The evaluation is based on manually indexed topics of the Quran that provides both the queries and the relevance judgments. Furthermore, the system is evaluated in both Malay and English environment. The performance of the system is measured based on the MAP, the precision at 1, 5 and 10, and the MRR scores. The results of the evaluation are promising, showing the IR system has many potential for the Quranic text retrieval. IEEE 2011 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48235/1/Evaluation%20of%20Quranic%20text%20retrieval%20system%20based%20on%20manually%20indexed%20topics.pdf Sultan, Ammar Mohammed and Azman, Azreen and Abdul Kadir, Rabiah and Abdullah, Muhamad Taufik (2011) Evaluation of Quranic text retrieval system based on manually indexed topics. In: 2011 International Conference on Semantic Technology and Information Retrieval (STAIR'11), 28-29 June 2011, Putrajaya, Malaysia. (pp. 156-161). 10.1109/STAIR.2011.5995781
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This paper investigates the effectiveness of a state of the art information retrieval (IR) system in the verse retrieval problem for Quranic text. The evaluation is based on manually indexed topics of the Quran that provides both the queries and the relevance judgments. Furthermore, the system is evaluated in both Malay and English environment. The performance of the system is measured based on the MAP, the precision at 1, 5 and 10, and the MRR scores. The results of the evaluation are promising, showing the IR system has many potential for the Quranic text retrieval.
format Conference or Workshop Item
author Sultan, Ammar Mohammed
Azman, Azreen
Abdul Kadir, Rabiah
Abdullah, Muhamad Taufik
spellingShingle Sultan, Ammar Mohammed
Azman, Azreen
Abdul Kadir, Rabiah
Abdullah, Muhamad Taufik
Evaluation of Quranic text retrieval system based on manually indexed topics
author_facet Sultan, Ammar Mohammed
Azman, Azreen
Abdul Kadir, Rabiah
Abdullah, Muhamad Taufik
author_sort Sultan, Ammar Mohammed
title Evaluation of Quranic text retrieval system based on manually indexed topics
title_short Evaluation of Quranic text retrieval system based on manually indexed topics
title_full Evaluation of Quranic text retrieval system based on manually indexed topics
title_fullStr Evaluation of Quranic text retrieval system based on manually indexed topics
title_full_unstemmed Evaluation of Quranic text retrieval system based on manually indexed topics
title_sort evaluation of quranic text retrieval system based on manually indexed topics
publisher IEEE
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/48235/1/Evaluation%20of%20Quranic%20text%20retrieval%20system%20based%20on%20manually%20indexed%20topics.pdf
http://psasir.upm.edu.my/id/eprint/48235/
_version_ 1643834115270639616
score 13.211869

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