Publication:
Expanding hadith understanding using ontology

dc.CorrespondenceAddressJunaidi, J.; Faculty of Quranic and Sunnah Studies, Universiti Sains Islam MalaysiaMalaysia
dc.FundingDetailsUSIM/FRGS/FPBU/51314 Universiti Sains Islam Malaysia: USIM/FRGS/FPQS/32/51714,�USIM PPP/USG-0116/ISI/30/10216 Universiti Sains Islam Malaysia
dc.FundingDetailsThis paper presents a work that is supported by the Minister of Higher Education (MOHE), under the Fundamental Research Grant Scheme (FRGS)- USIM/FRGS/FPBU/51314 by the title A New Multi-Relational Latent Semantic Analysis Model Hadith for Extracting Prophetic Hadith Concept by the collaboration with Faculty of Major Language Studies and Universiti Sains Islam Malaysia as well as Short-term Grant USIM PPP/USG-0116/ISI/30/10216 by the title An Approach of Contextual Meaning for word Samica based on Hadis Qawli in Sahih al-Bukhari and under the FRGS? USIM/FRGS/FPQS/32/51714 with the title Pengekstrakan Pola Hadis berdasarkan Ontologi Hadis Qawli, Fi?li, Taqriri, Wasfi Khilqi dan Wasfi Khuluqi by the collaboration with Faculty of Quranic and Sunnah Studies and Universiti Sains Islam Malaysia.
dc.citedby1
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsFaculty of Major Language Studies
dc.contributor.affiliationsFaculty of Quranic and Sunnah Studies
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorJunaidi, Juliyanaen_US
dc.contributor.authorJamal, Ikmal Hafizen_US
dc.contributor.authorGhazali, Norzulaili Mohden_US
dc.contributor.authorAhmad, Hishomudinen_US
dc.contributor.authorSalam, Rosalina Abdulen_US
dc.date.accessioned2024-05-29T01:55:08Z
dc.date.available2024-05-29T01:55:08Z
dc.date.issued2017
dc.description.abstractHadith which defined as the speeches, actions, tacit approvals and characteristics of Prophet Muhammad PBUH requires thorough attention in understanding. One of the principles in comprehending hadith is by understanding the content contextually, and it could be done by gathering related hadith under a certain concept. Ontology could play the role in the enhancement of this particular principle. However, the usage of ontology in the field of hadith is still limited due to various books of hadith available. Furthermore, the existing hadith ontology has only been focusing on the method of narration section. Thus, this study aims to propose an ontology based on hadith. Apart from that, it intends to explain the context of hadith prior to ontology creation. In order to achieve these objectives, several phases have been conducted to expand the understanding of hadith. The word Samica which means hearing has been chosen as a sample in this approach. The phases involved were the identification of the noun form of the word Samica, the extraction of hadith with the word Samica, the analysis of hadith based on several commentaries books, as well as the development of the ontology. The results indicated that the hadith could be categorized into several concepts which are Allah, Belief, and Sharicah. Allah, Belief and Sharicah have been recognized as crucial concepts in Islamic knowledge. In summary, ontology could be utilized in expanding hadith understanding. � 2017 American Scientific Publishers All rights reserved.
dc.description.natureFinalen_US
dc.identifier.doi10.1166/asl.2017.8939
dc.identifier.epage4614
dc.identifier.issn19366612
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85023758229
dc.identifier.spage4611
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85023758229&doi=10.1166%2fasl.2017.8939&partnerID=40&md5=5291034eacd480da7e2cd35bfead4295
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9639
dc.identifier.volume23
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherAmerican Scientific Publishersen_US
dc.relation.ispartofAdvanced Science Letters
dc.sourceScopus
dc.subjectHadith ontologyen_US
dc.subjectHadith understandingen_US
dc.subjectOntologyen_US
dc.titleExpanding hadith understanding using ontologyen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files

Collections