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: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2017
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Subjects: | |
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 |
Summary: | 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. |
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