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...
Published in: | MATEC Web of Conferences |
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Language: | English |
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EDP Sciences
2017
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036459830&doi=10.1051%2fmatecconf%2f201713500067&partnerID=40&md5=c1104af9d2052a2bed15ef2ea6ab8b04 |
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2-s2.0-85036459830 Ismail R.; Abd Rahman N.; Abu Bakar Z. A Pattern for Concept Identification from English Translated Quran 2017 MATEC Web of Conferences 135 10.1051/matecconf/201713500067 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036459830&doi=10.1051%2fmatecconf%2f201713500067&partnerID=40&md5=c1104af9d2052a2bed15ef2ea6ab8b04 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 The Authors. EDP Sciences 2261236X English Conference paper All Open Access; Gold Open Access; Green Open Access |
author |
Ismail R.; Abd Rahman N.; Abu Bakar Z. |
spellingShingle |
Ismail R.; Abd Rahman N.; Abu Bakar Z. A Pattern for Concept Identification from English Translated Quran |
author_facet |
Ismail R.; Abd Rahman N.; Abu Bakar Z. |
author_sort |
Ismail R.; Abd Rahman N.; Abu Bakar Z. |
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 |
A Pattern for Concept Identification from English Translated Quran |
publishDate |
2017 |
container_title |
MATEC Web of Conferences |
container_volume |
135 |
container_issue |
|
doi_str_mv |
10.1051/matecconf/201713500067 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036459830&doi=10.1051%2fmatecconf%2f201713500067&partnerID=40&md5=c1104af9d2052a2bed15ef2ea6ab8b04 |
description |
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 The Authors. |
publisher |
EDP Sciences |
issn |
2261236X |
language |
English |
format |
Conference paper |
accesstype |
All Open Access; Gold Open Access; Green Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1820775472425861120 |