Evaluation of Quranic text retrieval system based on manually indexed topics

Ammar Mohammed Sultan, Azreen Azman, Abdul Kadir Rabiah, Muhamad Taufik Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
Pages156-161
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Information retrieval systems

Keywords

  • information retrieval
  • query expansion
  • Quranic verse retrieval
  • relevance feedback

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Cite this

Sultan, A. M., Azman, A., Rabiah, A. K., & Abdullah, M. T. (2011). Evaluation of Quranic text retrieval system based on manually indexed topics. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 (pp. 156-161). [5995781] https://doi.org/10.1109/STAIR.2011.5995781

Evaluation of Quranic text retrieval system based on manually indexed topics. / Sultan, Ammar Mohammed; Azman, Azreen; Rabiah, Abdul Kadir; Abdullah, Muhamad Taufik.

2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 156-161 5995781.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sultan, AM, Azman, A, Rabiah, AK & Abdullah, MT 2011, Evaluation of Quranic text retrieval system based on manually indexed topics. in 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011., 5995781, pp. 156-161, 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/STAIR.2011.5995781
Sultan AM, Azman A, Rabiah AK, Abdullah MT. Evaluation of Quranic text retrieval system based on manually indexed topics. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 156-161. 5995781 https://doi.org/10.1109/STAIR.2011.5995781
Sultan, Ammar Mohammed ; Azman, Azreen ; Rabiah, Abdul Kadir ; Abdullah, Muhamad Taufik. / Evaluation of Quranic text retrieval system based on manually indexed topics. 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. pp. 156-161
@inproceedings{cf7552cc2c4b4380958fc6260b1d1136,
title = "Evaluation of Quranic text retrieval system based on manually indexed topics",
abstract = "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.",
keywords = "information retrieval, query expansion, Quranic verse retrieval, relevance feedback",
author = "Sultan, {Ammar Mohammed} and Azreen Azman and Rabiah, {Abdul Kadir} and Abdullah, {Muhamad Taufik}",
year = "2011",
doi = "10.1109/STAIR.2011.5995781",
language = "English",
isbn = "9781612843537",
pages = "156--161",
booktitle = "2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011",

}

TY - GEN

T1 - Evaluation of Quranic text retrieval system based on manually indexed topics

AU - Sultan, Ammar Mohammed

AU - Azman, Azreen

AU - Rabiah, Abdul Kadir

AU - Abdullah, Muhamad Taufik

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - information retrieval

KW - query expansion

KW - Quranic verse retrieval

KW - relevance feedback

UR - http://www.scopus.com/inward/record.url?scp=80052563052&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052563052&partnerID=8YFLogxK

U2 - 10.1109/STAIR.2011.5995781

DO - 10.1109/STAIR.2011.5995781

M3 - Conference contribution

SN - 9781612843537

SP - 156

EP - 161

BT - 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011

ER -