A survey of searching and information extraction on a classical text using ontology-based semantics modeling: a case of Quran
Quran is the religious text of Islam. Followers of Islam believe that it is the verbatim word of Allah (God). In the last few years, the Quran has become a target of interest for researchers in the field of computer science, for exploring the divine knowledge encapsulated in it. Since the last few y...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Marsland Press
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30617/1/A%20survey%20of%20searching%20and%20information%20extraction%20on%20a%20classical%20text%20using%20ontology.pdf |
| _version_ | 1825947742058315776 |
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| author | Ahmad, Omar Hyder, Irfan Iqbal, Rizwan Azmi Murad, Masrah Azrifah Mustapha, Aida Mohd Sharef, Nurfadhlina Mansoor, Muhammad |
| author_facet | Ahmad, Omar Hyder, Irfan Iqbal, Rizwan Azmi Murad, Masrah Azrifah Mustapha, Aida Mohd Sharef, Nurfadhlina Mansoor, Muhammad |
| author_sort | Ahmad, Omar |
| collection | UPM |
| description | Quran is the religious text of Islam. Followers of Islam believe that it is the verbatim word of Allah (God). In the last few years, the Quran has become a target of interest for researchers in the field of computer science, for exploring the divine knowledge encapsulated in it. Since the last few years ontologies have gained significant importance in computer science research because of its machine understandable and semantic nature. Ontologies play an important role in supporting the notion of the semantic web. Some work has been done on the Quran exploiting the platform of ontologies. This paper presents a survey based on recent works which uses ontologies as a means of representing and encapsulating the knowledge of the Quran. In order to compare the reviewed literature, an authentic framework is used which is applicable to any ontology application. Furthermore, the paper includes a comprehensive comparison table based on the framework which allows the readers to understand the details of all works in a glance. At the end of the paper, the conclusion and future work section highlights the shortcomings of the existing works and give a sense of direction to aspiring researchers in order to contribute to the domain of the Quran. |
| first_indexed | 2024-03-06T08:18:06Z |
| format | Article |
| id | upm.eprints-30617 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:18:06Z |
| publishDate | 2013 |
| publisher | Marsland Press |
| record_format | dspace |
| spelling | upm.eprints-306172018-07-19T02:47:28Z http://psasir.upm.edu.my/id/eprint/30617/ A survey of searching and information extraction on a classical text using ontology-based semantics modeling: a case of Quran Ahmad, Omar Hyder, Irfan Iqbal, Rizwan Azmi Murad, Masrah Azrifah Mustapha, Aida Mohd Sharef, Nurfadhlina Mansoor, Muhammad Quran is the religious text of Islam. Followers of Islam believe that it is the verbatim word of Allah (God). In the last few years, the Quran has become a target of interest for researchers in the field of computer science, for exploring the divine knowledge encapsulated in it. Since the last few years ontologies have gained significant importance in computer science research because of its machine understandable and semantic nature. Ontologies play an important role in supporting the notion of the semantic web. Some work has been done on the Quran exploiting the platform of ontologies. This paper presents a survey based on recent works which uses ontologies as a means of representing and encapsulating the knowledge of the Quran. In order to compare the reviewed literature, an authentic framework is used which is applicable to any ontology application. Furthermore, the paper includes a comprehensive comparison table based on the framework which allows the readers to understand the details of all works in a glance. At the end of the paper, the conclusion and future work section highlights the shortcomings of the existing works and give a sense of direction to aspiring researchers in order to contribute to the domain of the Quran. Marsland Press 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30617/1/A%20survey%20of%20searching%20and%20information%20extraction%20on%20a%20classical%20text%20using%20ontology.pdf Ahmad, Omar and Hyder, Irfan and Iqbal, Rizwan and Azmi Murad, Masrah Azrifah and Mustapha, Aida and Mohd Sharef, Nurfadhlina and Mansoor, Muhammad (2013) A survey of searching and information extraction on a classical text using ontology-based semantics modeling: a case of Quran. Life Science Journal, 10 (4). pp. 1370-1377. ISSN 1097-8135; ESSN: 2372-613X http://www.lifesciencesite.com/lsj/life1004/ 10.7537/marslsj100413.181 |
| spellingShingle | Ahmad, Omar Hyder, Irfan Iqbal, Rizwan Azmi Murad, Masrah Azrifah Mustapha, Aida Mohd Sharef, Nurfadhlina Mansoor, Muhammad A survey of searching and information extraction on a classical text using ontology-based semantics modeling: a case of Quran |
| title | A survey of searching and information extraction on a classical text using ontology-based semantics modeling: a case of Quran |
| title_full | A survey of searching and information extraction on a classical text using ontology-based semantics modeling: a case of Quran |
| title_fullStr | A survey of searching and information extraction on a classical text using ontology-based semantics modeling: a case of Quran |
| title_full_unstemmed | A survey of searching and information extraction on a classical text using ontology-based semantics modeling: a case of Quran |
| title_short | A survey of searching and information extraction on a classical text using ontology-based semantics modeling: a case of Quran |
| title_sort | survey of searching and information extraction on a classical text using ontology based semantics modeling a case of quran |
| url | http://psasir.upm.edu.my/id/eprint/30617/1/A%20survey%20of%20searching%20and%20information%20extraction%20on%20a%20classical%20text%20using%20ontology.pdf |
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