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Quranic-based concepts: verse relations extraction using Manchester OWL syntax

In recent years, there is global demand for Islamic knowledge by both Muslims and non-Muslims. This has brought about number of automated applications that ease the retrieval of knowledge from the holy books. However current retrieval methods lack semantic information they are mostly base on keyword...

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Main Authors: Yauri, Aliyu Rufai, Abdul Kadir, Rabiah, Azman, Azreen, Azmi Murad, Masrah Azrifah
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/48063/1/Quranic-based%20concepts%20verse%20relations%20extraction%20using%20Manchester%20OWL%20syntax.pdf
http://psasir.upm.edu.my/id/eprint/48063/
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spelling my.upm.eprints.480632016-08-03T07:40:36Z http://psasir.upm.edu.my/id/eprint/48063/ Quranic-based concepts: verse relations extraction using Manchester OWL syntax Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah In recent years, there is global demand for Islamic knowledge by both Muslims and non-Muslims. This has brought about number of automated applications that ease the retrieval of knowledge from the holy books. However current retrieval methods lack semantic information they are mostly base on keywords matching approach. In this paper we have proposed a Model that will make use of semantic Web technologies (ontology) to model Quran domain knowledge. The system will enhance Quran knowledge by enabling queries in natural language. IEEE 2012 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48063/1/Quranic-based%20concepts%20verse%20relations%20extraction%20using%20Manchester%20OWL%20syntax.pdf Yauri, Aliyu Rufai and Abdul Kadir, Rabiah and Azman, Azreen and Azmi Murad, Masrah Azrifah (2012) Quranic-based concepts: verse relations extraction using Manchester OWL syntax. In: 2012 International Conference on Information Retrieval & Knowledge Management (CAMP), 13-15 Mar. 2012, Kuala Lumpur, Malaysia. (pp. 317-321). 10.1109/InfRKM.2012.6204998
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 In recent years, there is global demand for Islamic knowledge by both Muslims and non-Muslims. This has brought about number of automated applications that ease the retrieval of knowledge from the holy books. However current retrieval methods lack semantic information they are mostly base on keywords matching approach. In this paper we have proposed a Model that will make use of semantic Web technologies (ontology) to model Quran domain knowledge. The system will enhance Quran knowledge by enabling queries in natural language.
format Conference or Workshop Item
author Yauri, Aliyu Rufai
Abdul Kadir, Rabiah
Azman, Azreen
Azmi Murad, Masrah Azrifah
spellingShingle Yauri, Aliyu Rufai
Abdul Kadir, Rabiah
Azman, Azreen
Azmi Murad, Masrah Azrifah
Quranic-based concepts: verse relations extraction using Manchester OWL syntax
author_facet Yauri, Aliyu Rufai
Abdul Kadir, Rabiah
Azman, Azreen
Azmi Murad, Masrah Azrifah
author_sort Yauri, Aliyu Rufai
title Quranic-based concepts: verse relations extraction using Manchester OWL syntax
title_short Quranic-based concepts: verse relations extraction using Manchester OWL syntax
title_full Quranic-based concepts: verse relations extraction using Manchester OWL syntax
title_fullStr Quranic-based concepts: verse relations extraction using Manchester OWL syntax
title_full_unstemmed Quranic-based concepts: verse relations extraction using Manchester OWL syntax
title_sort quranic-based concepts: verse relations extraction using manchester owl syntax
publisher IEEE
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/48063/1/Quranic-based%20concepts%20verse%20relations%20extraction%20using%20Manchester%20OWL%20syntax.pdf
http://psasir.upm.edu.my/id/eprint/48063/
_version_ 1643834063367176192
score 13.159267

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