Extraction of concept and concept relation for Islamic term using syntactic pattern approach

Ontology Learning is a semi automation step to learn ontology from text. The identification of a term become a prerequisite for all aspects of Ontology Learning. The Ontological Learning Layer is started by identifying terms, synonyms, concepts, hierarchical concepts, relationships and rules for var...

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Main Authors: Saidah Saad,, Ummu Kalsom A. Latiff,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:http://journalarticle.ukm.my/17766/1/06.pdf
http://journalarticle.ukm.my/17766/
https://www.ukm.my/apjitm/articles-year.php
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spelling my-ukm.journal.177662021-12-24T08:49:37Z http://journalarticle.ukm.my/17766/ Extraction of concept and concept relation for Islamic term using syntactic pattern approach Saidah Saad, Ummu Kalsom A. Latiff, Ontology Learning is a semi automation step to learn ontology from text. The identification of a term become a prerequisite for all aspects of Ontology Learning. The Ontological Learning Layer is started by identifying terms, synonyms, concepts, hierarchical concepts, relationships and rules for various domain text including Islamic-based text or Islamic Glossary. The glossary of Islamic terms translated into English has been in abundance and requires extraction of important information for a clear understanding of an Islamic term. The existence of a list of Islamic terms is to minimize the spelling diversity, to seek the concept of the term and provide guidance for a unique Islamic concept. However, this electronic form provides a serious problem to achieve machine operation. The study aims to identify and extract concepts, taxonomies, relationships and rules that can be built on the domain of the terms in Islamic glossary specific to the field of Islamic Pillars. This extraction involves the use of Hearst pattern approach. The data set used is from the Dictionary or Islamic Glossary of the International Islamic University of Malaysia (DEED 2015). The dictionary consists of Islamic terms, which are the concepts and intentions of each concepts in alphabetical order. The study used six phases involving the preparation, processing and testing phase that are merged with the methodology design of the study. A total of 41 concepts were successfully extracted based on 6 Hearst pattern, 31 manually generated rules from 19 sentences and 9 non-taxonomic relationships. The result of the study concluded that the objective of this study was achieved in the scope determined when the results of the study and testing conducted by the assessors in the domain showed positive results. Research constraints are presented to enable researchers to improve the research from time to time. Research proposals for future research have been described so that this study will be more useful and expanded to the next comprehensive guide of Muslims. Penerbit Universiti Kebangsaan Malaysia 2018-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/17766/1/06.pdf Saidah Saad, and Ummu Kalsom A. Latiff, (2018) Extraction of concept and concept relation for Islamic term using syntactic pattern approach. Asia-Pacific Journal of Information Technology and Multimedia, 7 (2). pp. 71-84. ISSN 2289-2192 https://www.ukm.my/apjitm/articles-year.php
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Ontology Learning is a semi automation step to learn ontology from text. The identification of a term become a prerequisite for all aspects of Ontology Learning. The Ontological Learning Layer is started by identifying terms, synonyms, concepts, hierarchical concepts, relationships and rules for various domain text including Islamic-based text or Islamic Glossary. The glossary of Islamic terms translated into English has been in abundance and requires extraction of important information for a clear understanding of an Islamic term. The existence of a list of Islamic terms is to minimize the spelling diversity, to seek the concept of the term and provide guidance for a unique Islamic concept. However, this electronic form provides a serious problem to achieve machine operation. The study aims to identify and extract concepts, taxonomies, relationships and rules that can be built on the domain of the terms in Islamic glossary specific to the field of Islamic Pillars. This extraction involves the use of Hearst pattern approach. The data set used is from the Dictionary or Islamic Glossary of the International Islamic University of Malaysia (DEED 2015). The dictionary consists of Islamic terms, which are the concepts and intentions of each concepts in alphabetical order. The study used six phases involving the preparation, processing and testing phase that are merged with the methodology design of the study. A total of 41 concepts were successfully extracted based on 6 Hearst pattern, 31 manually generated rules from 19 sentences and 9 non-taxonomic relationships. The result of the study concluded that the objective of this study was achieved in the scope determined when the results of the study and testing conducted by the assessors in the domain showed positive results. Research constraints are presented to enable researchers to improve the research from time to time. Research proposals for future research have been described so that this study will be more useful and expanded to the next comprehensive guide of Muslims.
format Article
author Saidah Saad,
Ummu Kalsom A. Latiff,
spellingShingle Saidah Saad,
Ummu Kalsom A. Latiff,
Extraction of concept and concept relation for Islamic term using syntactic pattern approach
author_facet Saidah Saad,
Ummu Kalsom A. Latiff,
author_sort Saidah Saad,
title Extraction of concept and concept relation for Islamic term using syntactic pattern approach
title_short Extraction of concept and concept relation for Islamic term using syntactic pattern approach
title_full Extraction of concept and concept relation for Islamic term using syntactic pattern approach
title_fullStr Extraction of concept and concept relation for Islamic term using syntactic pattern approach
title_full_unstemmed Extraction of concept and concept relation for Islamic term using syntactic pattern approach
title_sort extraction of concept and concept relation for islamic term using syntactic pattern approach
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2018
url http://journalarticle.ukm.my/17766/1/06.pdf
http://journalarticle.ukm.my/17766/
https://www.ukm.my/apjitm/articles-year.php
_version_ 1720437888240320512
score 13.214268