Themes-based classification for Al-Quran knowledge ontology

Al-Quran knowledge representations involved classification of Al-Quran verses for providing better understanding of the readers. In the current era of social media challenges. the representation of knowledge must be understood by human and computer in order to ensure the correctness of Al-Quran se...

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Main Authors: Ta'a, Azman, Abdullah, Mohd Syazwan, Mat Ali, Abdul Bashah, Ahmad, Muhammad
格式: Conference or Workshop Item
語言:English
出版: 2014
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在線閱讀:http://repo.uum.edu.my/12701/1/Th.pdf
http://repo.uum.edu.my/12701/
http://ictc2014.org/main/
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spelling my.uum.repo.127012016-05-26T01:26:28Z http://repo.uum.edu.my/12701/ Themes-based classification for Al-Quran knowledge ontology Ta'a, Azman Abdullah, Mohd Syazwan Mat Ali, Abdul Bashah Ahmad, Muhammad QA76 Computer software Al-Quran knowledge representations involved classification of Al-Quran verses for providing better understanding of the readers. In the current era of social media challenges. the representation of knowledge must be understood by human and computer in order to ensure the correctness of Al-Quran semantics are persevered.Current approaches used conventional methods such as taxonomy, hierarchy or tree structure, which only provides a concept definition without linked to other sources of knowledge explanation. This research aims to develop the Al-Quran Ontology by using theme-based classification approach.The ontology model for Al-Quran is developed based on the Al-Quran knowledge theme defined in Syammil Al-Quran Miracle the Reference.The theme-based ontology approach has shown that the Al-Quran knowledge can be classified and presented systematically.This will encourage the development of applications for Al-Quran readers.Moreover, the ontology structure that representing the theme concepts in Al-Quran was reviewed and validated by the domain experts in Al-Quran knowledge. 2014-10-22 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/12701/1/Th.pdf Ta'a, Azman and Abdullah, Mohd Syazwan and Mat Ali, Abdul Bashah and Ahmad, Muhammad (2014) Themes-based classification for Al-Quran knowledge ontology. In: International Conference on ICT Convergence (ICTC 2014), 22-24 October 2014, Paradise Hotel, Busan Korea. http://ictc2014.org/main/
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ta'a, Azman
Abdullah, Mohd Syazwan
Mat Ali, Abdul Bashah
Ahmad, Muhammad
Themes-based classification for Al-Quran knowledge ontology
description Al-Quran knowledge representations involved classification of Al-Quran verses for providing better understanding of the readers. In the current era of social media challenges. the representation of knowledge must be understood by human and computer in order to ensure the correctness of Al-Quran semantics are persevered.Current approaches used conventional methods such as taxonomy, hierarchy or tree structure, which only provides a concept definition without linked to other sources of knowledge explanation. This research aims to develop the Al-Quran Ontology by using theme-based classification approach.The ontology model for Al-Quran is developed based on the Al-Quran knowledge theme defined in Syammil Al-Quran Miracle the Reference.The theme-based ontology approach has shown that the Al-Quran knowledge can be classified and presented systematically.This will encourage the development of applications for Al-Quran readers.Moreover, the ontology structure that representing the theme concepts in Al-Quran was reviewed and validated by the domain experts in Al-Quran knowledge.
format Conference or Workshop Item
author Ta'a, Azman
Abdullah, Mohd Syazwan
Mat Ali, Abdul Bashah
Ahmad, Muhammad
author_facet Ta'a, Azman
Abdullah, Mohd Syazwan
Mat Ali, Abdul Bashah
Ahmad, Muhammad
author_sort Ta'a, Azman
title Themes-based classification for Al-Quran knowledge ontology
title_short Themes-based classification for Al-Quran knowledge ontology
title_full Themes-based classification for Al-Quran knowledge ontology
title_fullStr Themes-based classification for Al-Quran knowledge ontology
title_full_unstemmed Themes-based classification for Al-Quran knowledge ontology
title_sort themes-based classification for al-quran knowledge ontology
publishDate 2014
url http://repo.uum.edu.my/12701/1/Th.pdf
http://repo.uum.edu.my/12701/
http://ictc2014.org/main/
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score 13.153044