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Multi- Relational Latent Morphology-Semantic "MOR-PHOSEM" Analysis Model For Extracting Qura'nic Concept A New Innovative For Sustainable Society

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dc.contributor.authorAsma Abdul Rahmanen_US
dc.contributor.authorMohammad Hamiruce Marhabanen_US
dc.contributor.authorKhairol Amali Ahmaden_US
dc.contributor.authorAhmad Abdul Rahmanen_US
dc.contributor.authorFakroul Ridzuan Hashimen_US
dc.contributor.authorMaryam Abdul Rahmanen_US
dc.date.accessioned2024-05-27T14:37:20Z
dc.date.available2024-05-27T14:37:20Z
dc.date.issued2021
dc.description.abstractAl Quran is a divine text which represents the purest and most authentic form of the classical Arabic language. To understand the meaning of each verse, a deep knowledge of Arabic linguistic is essential. Therefore, our scholars have made their efforts by engaging themselves in the works of explaining al Quran's words, interpreting its meanings into Arabic and other languages. Currently, more people are interested in knowing the content of al-Quran, especially for non-Muslim, after 9/11 tragedy. Thus, a flexible model that can represent Qur'anic concept is required for people to understand the content of the Quran. In this research, we propose a Multi-Relational Latent Morphology-Semantic Analysis Model (MORPHOSEM) based on a combination of Arabic Semantic and six multiple relations between words, which are synonym, antonym, hypernym, hyponym, homonym and meronym, to precisely extract Qur'anic concept. The existing literatures focus only on very limited relationships between words which could not extract the in-depth concept of Qur'anic without considering the importance Arabic Semantic. Therefore, the objectives of this research are: (1) to analyses and categorize Quranic words according to Arabic Semantic patterns, (2) to propose a new model for extracting Quranic concept using MORPHOSEM, (3) to investigate semantic relationships between Qur'anic words, and (4) to validate the proposed model with Arabic linguistic, and Qur'anic experts. This research will be conducted qualitatively through content analysis approach a new innovative technological technique. It is expected that the model will come out with a precise analysis for extracting Qur'anic concept. This will be very significant in enhancing the overall Quran's understanding among the society in Malaysia and Muslim's world for sustainable society.en_US
dc.identifier.epage1977
dc.identifier.issn1309-4653
dc.identifier.issue8
dc.identifier.spage1967
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/3461
dc.identifier.volume12
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherKaradeniz Technical Universityen_US
dc.relation.ispartofTurkish Journal of Computer and Mathematics Educationen_US
dc.subjectMulti-Relational, Latent, Morphology-Semantic, Model Extracting, Qur'anic, Sustainable societyen_US
dc.titleMulti- Relational Latent Morphology-Semantic "MOR-PHOSEM" Analysis Model For Extracting Qura'nic Concept A New Innovative For Sustainable Societyen_US
dc.typeArticleen_US
dspace.entity.typePublication

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