Please use this identifier to cite or link to this item: https://oarep.usim.edu.my/jspui/handle/123456789/1787
Title: Intelligent Quranic ontology retrieval
Authors: Basir N. 
Nabila N.F. 
Zaizi N.J.M. 
Saudi M.M. 
Ridzuan F.H.M. 
Pitchay S.A. 
Keywords: Medical and information retrieval;Ontology;Quran
Issue Date: 2017
Publisher: American Scientific Publishers
Journal: Advanced Science Letters 
Abstract: 
The Quran covers all aspects of our life and usually referred, as a book of knowledge. The extraction of Quranic knowledge is a difficult task, as the Quran is rich in its linguistics and multi-layered meanings, difficult if done without the use of other resources such as the Hadith and Tafsir by Muslim Scholars. Several Quranic ontologies have been developed in recent years, however most of these ontologies only focus on certain domains and language rather than contents of the Quran. Hence this paper will describe the extraction of the knowledge from the Tafsir performed by Muslim Scholars that enables users to search and retrieve relevance information based on the Quran ontology that includes several fields like economy, health and others. This process is carried out to extract the components of ontology such as the concept, relation and rules. The extraction is performed based on search of the desired keyword (as a single word or multiple phrases with logical operator), search weightage (rank) or keyword expansion from the domain knowledge based that enables for further navigate related information from the search result. � 2017 American Scientific Publishers All rights reserved.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85023755607&doi=10.1166%2fasl.2017.8911&partnerID=40&md5=54a6f2f1e827bc11f08ffc67bcd8be5d
ISSN: 19366612
DOI: 10.1166/asl.2017.8911
Appears in Collections:Scopus

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