A Pattern for Concept Identification from English Translated Quran
Ontology development is time consuming and tedious task. The task can be minimized by automatic or semi-automatic ontology development. This minimizing task is a field of ontology learning. Ontology learning will be able to extract ontological elements to form ontology. Concept identifying is one of...
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my-unisza-ir.13832020-11-16T01:47:28Z http://eprints.unisza.edu.my/1383/ A Pattern for Concept Identification from English Translated Quran Rohana, Ismail Abd Rahman, N Abu Bakar, Z QA76 Computer software Ontology development is time consuming and tedious task. The task can be minimized by automatic or semi-automatic ontology development. This minimizing task is a field of ontology learning. Ontology learning will be able to extract ontological elements to form ontology. Concept identifying is one of the important activities in ontology learning. Various methods can be used to find concepts. Thus, this experiment used the n-grams and JAPE pattern in identifying concepts. As the term Allah occurs very frequent in English translated Quran, this experiment considers the word surrounding the term Allah to find other related concepts. It is important because the occurrences produced the term Allah as a concept in ontology but at the same time ignore other related terms to term Allah. The strength connection between words surrounding term Allah has been analysed. Results show the significant terms related to term Allah can be extracted. Later, the term can be used as concepts in ontology. 2017 Conference or Workshop Item NonPeerReviewed image en http://eprints.unisza.edu.my/1383/1/FH03-FIK-17-11660.jpg Rohana, Ismail and Abd Rahman, N and Abu Bakar, Z (2017) A Pattern for Concept Identification from English Translated Quran. In: 8th International Conference on Mechanical and Manufacturing Engineering, 22-23 July 2017, Langkawi; Malaysia. |
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Ontology development is time consuming and tedious task. The task can be minimized by automatic or semi-automatic ontology development. This minimizing task is a field of ontology learning. Ontology learning will be able to extract ontological elements to form ontology. Concept identifying is one of the important activities in ontology learning. Various methods can be used to find concepts. Thus, this experiment used the n-grams and JAPE pattern in identifying concepts. As the term Allah occurs very frequent in English translated Quran, this experiment considers the word surrounding the term Allah to find other related concepts. It is important because the occurrences produced the term Allah as a concept in ontology but at the same time ignore other related terms to term Allah. The strength connection between words surrounding term Allah has been analysed. Results show the significant terms related to term Allah can be extracted. Later, the term can be used as concepts in ontology. |
format |
Conference or Workshop Item |
author |
Rohana, Ismail Abd Rahman, N Abu Bakar, Z |
author_facet |
Rohana, Ismail Abd Rahman, N Abu Bakar, Z |
author_sort |
Rohana, Ismail |
title |
A Pattern for Concept Identification from English Translated Quran |
title_short |
A Pattern for Concept Identification from English Translated Quran |
title_full |
A Pattern for Concept Identification from English Translated Quran |
title_fullStr |
A Pattern for Concept Identification from English Translated Quran |
title_full_unstemmed |
A Pattern for Concept Identification from English Translated Quran |
title_sort |
pattern for concept identification from english translated quran |
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2017 |
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http://eprints.unisza.edu.my/1383/1/FH03-FIK-17-11660.jpg http://eprints.unisza.edu.my/1383/ |
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13.18916 |