Publication:
A Systematic Review Analysis For Quran Verses Retrieval

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dc.contributor.authorMuhammad Afifi Mohamad Safeeen_US
dc.contributor.authorMadihah Mohd Saudien_US
dc.contributor.authorSakinah Ali Pitchayen_US
dc.contributor.authorFarida Ridzuanen_US
dc.date.accessioned2024-05-28T04:21:07Z
dc.date.available2024-05-28T04:21:07Z
dc.date.issued2016
dc.descriptionVolume: 11 Issue: 3en_US
dc.description.abstractNow a days, a proper method for presenting information is crucial due to the increase of mass volume and complexity of information. As for Muslim, Quran is referred as one of the main resources for guidance and reference for their daily life. Currently, there are many methods have been used for Quran verses retrieval. However, there is still lack of studies on the scientific way for Quran verses retrieval. As a consequence, it is quite hard to obtain accurate information and might lead to wrong information being retrieved. Therefore, this study investigates and evaluates the strengths and weaknesses of existing works. Furthermore, a case study on a new Quran ontology alignment model by integrating the upper ontology (Quran corpus) and domain ontology (general medical) for Quran verses extraction is discussed in this study. Based on the findings, ontology remodeling is required to fix the inconsistency of the ontology by integrating ontology alignment technique and fuzzy algorithm.en_US
dc.identifier.doi10.36478/jeasci.2016.629.634
dc.identifier.epage634
dc.identifier.issn1818-7803
dc.identifier.issue3
dc.identifier.spage629
dc.identifier.urihttps://www.medwelljournals.com/abstract/?doi=jeasci.2016.629.634
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/5269
dc.identifier.volume11
dc.language.isoen_USen_US
dc.publisherMedwell Journalsen_US
dc.relation.ispartofJournal of Engineering and Applied Sciencesen_US
dc.subjectComplexity, guidance, retrieval, integrating ontology alignment technique, Quran ontology alignment model, domain ontologyen_US
dc.titleA Systematic Review Analysis For Quran Verses Retrievalen_US
dc.typeArticleen_US
dspace.entity.typePublication

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