Publication:
Interpreting Some Features Of Sama' Verses Using Data Extraction Of Quran Ontology

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dc.contributor.authorMuhammad Widus Sempoen_US
dc.contributor.authorRosalina Abdul Salamen_US
dc.contributor.authorRobiatul Adawiyah Mohden_US
dc.contributor.authorWan Nur Rahini Aznie Binti Zainuddinen_US
dc.date.accessioned2024-05-27T14:36:20Z
dc.date.available2024-05-27T14:36:20Z
dc.date.issued2016-06
dc.descriptionInternational Journal of Humanities and Social Science Invention ISSN (Online): 2319 –7722, ISSN (Print): 2319 –7714 www.ijhssi.org || Volume 5 Issue 6||June. 2016 || PP.42-52en_US
dc.description.abstractABSTRACT: There seems to be lack of academic papers trying to set out a concept of sama’(hearing) verses ontology. Hence this study wishes to fill in the gap by describing a new concept of Quran ontology for the sama’verses from an existing data. This study also aims to highlight the unique features of sama’verses by using data extraction based on ontology processes. In doing so, this study analyzes every single feature and gives it an appropriate interpretation. In addition to Quran, this study uses all sources of both classic Islamic and modern science literatures as part of references to enhance existing methodology and findings. The result from this study is applicable to be used for ear, nose and throat (ENT) medical health and important to encapsulate the benefit of ontology in representing an authentic information from Quran. Keywords:Interpreting; Sama’verses; Data Extraction; Quran ontologyen_US
dc.identifier.epage52
dc.identifier.issn2319-7722
dc.identifier.issue6
dc.identifier.other2319 –7714
dc.identifier.spage42
dc.identifier.urihttps://www.ijhssi.org/v5i6(version%201).html
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/3411
dc.identifier.volume5
dc.language.isoenen_US
dc.publisherInvention Journalsen_US
dc.relation.ispartofInternational Journal of Humanities and Social Science Inventionen_US
dc.subjectInterpreting; Sama’verses;en_US
dc.subjectData Extraction;en_US
dc.subjectQuran ontologyen_US
dc.titleInterpreting Some Features Of Sama' Verses Using Data Extraction Of Quran Ontologyen_US
dc.typeArticleen_US
dspace.entity.typePublication

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