Identifying concept from English translated Quran

Ontology learning is a field of extracting ontological elements to form ontology. Identification of concepts is the main activities within ontology learning. Diverse methods can be used to find concepts. One of the methods is using collocation learning technique. The technique used statistical...

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Main Authors: Rohana, Ismail, Nurazzah, Abd Rahman, Zainab, Abu Bakar
Format: Conference or Workshop Item
Language:English
Published: 2017
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Online Access:http://eprints.unisza.edu.my/933/1/FH03-FIK-18-12944.pdf
http://eprints.unisza.edu.my/933/
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Institution: Universiti Sultan Zainal Abidin
Language: English
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spelling my-unisza-ir.9332020-11-02T04:23:26Z http://eprints.unisza.edu.my/933/ Identifying concept from English translated Quran Rohana, Ismail Nurazzah, Abd Rahman Zainab, Abu Bakar QA75 Electronic computers. Computer science QA76 Computer software Ontology learning is a field of extracting ontological elements to form ontology. Identification of concepts is the main activities within ontology learning. Diverse methods can be used to find concepts. One of the methods is using collocation learning technique. The technique used statistical scores which to test the strength of the connection between terms. In English translated Quran, single term Allah has occurred more frequently. The highest occurrences make the term Allah as concept but ignore the multi terms that related terms to Allah. This paper proposed a method to extract concept. It is based on collocation of terms related to Allah. The collocation used Ngram method. The result shows that the collocation method is able to identify terms related to Allah to be as concepts. 2017 Conference or Workshop Item NonPeerReviewed text en http://eprints.unisza.edu.my/933/1/FH03-FIK-18-12944.pdf Rohana, Ismail and Nurazzah, Abd Rahman and Zainab, Abu Bakar (2017) Identifying concept from English translated Quran. In: 2016 IEEE Conference on Open Systems (ICOS), 20 March 2017, LANGKAWI.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Rohana, Ismail
Nurazzah, Abd Rahman
Zainab, Abu Bakar
Identifying concept from English translated Quran
description Ontology learning is a field of extracting ontological elements to form ontology. Identification of concepts is the main activities within ontology learning. Diverse methods can be used to find concepts. One of the methods is using collocation learning technique. The technique used statistical scores which to test the strength of the connection between terms. In English translated Quran, single term Allah has occurred more frequently. The highest occurrences make the term Allah as concept but ignore the multi terms that related terms to Allah. This paper proposed a method to extract concept. It is based on collocation of terms related to Allah. The collocation used Ngram method. The result shows that the collocation method is able to identify terms related to Allah to be as concepts.
format Conference or Workshop Item
author Rohana, Ismail
Nurazzah, Abd Rahman
Zainab, Abu Bakar
author_facet Rohana, Ismail
Nurazzah, Abd Rahman
Zainab, Abu Bakar
author_sort Rohana, Ismail
title Identifying concept from English translated Quran
title_short Identifying concept from English translated Quran
title_full Identifying concept from English translated Quran
title_fullStr Identifying concept from English translated Quran
title_full_unstemmed Identifying concept from English translated Quran
title_sort identifying concept from english translated quran
publishDate 2017
url http://eprints.unisza.edu.my/933/1/FH03-FIK-18-12944.pdf
http://eprints.unisza.edu.my/933/
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