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Pattern extraction for islamic concept

Ontology is one of the essential topics in the scope of an important area of current computer science and Semantic Web. Ontologies present well defined, straightforward and standardized form of the repositories (vast and reliable knowledge) where it can be interoperable and machine understandable. T...

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Main Authors: Saad, Saidah, Salim, Naomie, Zainal, Hakim
Format: Book Section
Published: Institute of Electrical and Electronics Engineers 2009
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/13041/
http://dx.doi.org/10.1109/ICEEI.2009.5254719
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spelling my.utm.130412011-07-14T01:15:49Z http://eprints.utm.my/id/eprint/13041/ Pattern extraction for islamic concept Saad, Saidah Salim, Naomie Zainal, Hakim QA75 Electronic computers. Computer science Ontology is one of the essential topics in the scope of an important area of current computer science and Semantic Web. Ontologies present well defined, straightforward and standardized form of the repositories (vast and reliable knowledge) where it can be interoperable and machine understandable. There are many possible utilization of ontologies from automatic annotation of web resources to domain representation and reasoning task. Ontology is an effective conceptualism used for the semantic web. However there is none of the research try to construct an ontology from Islamic knowledge which consist of Holy Quran, Hadiths and etc. Therefore as a first stage, in this paper we try to propose a simple methodology in order to extract a concept based on Al-Quran. Finally, we discuss about the experiment that has been conducted. Institute of Electrical and Electronics Engineers 2009 Book Section PeerReviewed Saad, Saidah and Salim, Naomie and Zainal, Hakim (2009) Pattern extraction for islamic concept. In: Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Institute of Electrical and Electronics Engineers, New York, 333 -337. ISBN 978-142444913-2 http://dx.doi.org/10.1109/ICEEI.2009.5254719 doi:10.1109/ICEEI.2009.5254719
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Saad, Saidah
Salim, Naomie
Zainal, Hakim
Pattern extraction for islamic concept
description Ontology is one of the essential topics in the scope of an important area of current computer science and Semantic Web. Ontologies present well defined, straightforward and standardized form of the repositories (vast and reliable knowledge) where it can be interoperable and machine understandable. There are many possible utilization of ontologies from automatic annotation of web resources to domain representation and reasoning task. Ontology is an effective conceptualism used for the semantic web. However there is none of the research try to construct an ontology from Islamic knowledge which consist of Holy Quran, Hadiths and etc. Therefore as a first stage, in this paper we try to propose a simple methodology in order to extract a concept based on Al-Quran. Finally, we discuss about the experiment that has been conducted.
format Book Section
author Saad, Saidah
Salim, Naomie
Zainal, Hakim
author_facet Saad, Saidah
Salim, Naomie
Zainal, Hakim
author_sort Saad, Saidah
title Pattern extraction for islamic concept
title_short Pattern extraction for islamic concept
title_full Pattern extraction for islamic concept
title_fullStr Pattern extraction for islamic concept
title_full_unstemmed Pattern extraction for islamic concept
title_sort pattern extraction for islamic concept
publisher Institute of Electrical and Electronics Engineers
publishDate 2009
url http://eprints.utm.my/id/eprint/13041/
http://dx.doi.org/10.1109/ICEEI.2009.5254719
_version_ 1643646102481666048
score 13.211869

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