MATEC Web Conf.
Volume 135, 20178th International Conference on Mechanical and Manufacturing Engineering 2017 (ICME’17)
|Number of page(s)||8|
|Published online||20 November 2017|
A Pattern for Concept Identification from English Translated Quran
Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Kuala Terengganu, Terengganu.
2 Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor.
3 Faculty of Computer and Information Technology, Al-Madinah International University, Shah Alam Selangor.
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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