Computational Ontologies for a Semantic Representation of the Islamic Knowledge

Fairouz, Bendjamaa; Taleb, Nora

doi:10.1007/978-3-319-89743-1_4

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…The ontology provided common vocabularies (concepts), descriptions, and relationships between the concepts. Fairouz and Nora introduced an ontology representing the Islamic knowledge as well as a system that could analyse the selected knowledge (42). This ontology concentrated on the Islamic legislative as its main source.…”

Section: Related Workmentioning

confidence: 99%

Ontological Methodologies for Counselling Intervention: Do’a and Zikr Al-Mā’thur Corpus

Othman

Tawil

2021

Baghdad Sci.J

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Do’a and Zikr al-Mā’thur (authentic supplications and remembrance of ALLAH ‘Azza wa Jalla) can be suggested to Muslims to help them deal with challenges or issues in life. Counselling cases affect a person’s feelings. Do’a and Zikr al-Mā’thur are often applied as a counselling intervention. Unfortunately, the authentic Do’a and Zikr al-Mā’thur are dispersed in many resources not visible to users, and the fact that not all online resources offer access to accurate Do’a and Zikr al-Mā’thur to users and the dubious Do’a and Zikr al-Mā’thur frequently credited to the Prophet (pbuh). The goal of this research is to develop an ontology for the purpose of providing credible results to counselling cases in need of relevant Do’a and Zikr Al- Ma’thur. This research focused on presenting how an ontology could support to provide accurate information to cases supervised by high school counsellors. This research developed the ontology for Do’a and Zikr al-Mā’thur for counselling in Protégé. The methodology implemented in the ontology development included the models designed by Fernandez-Lopez et al., Thunkijjanukij, Gomez-Perez et al., and Kreider. The ontology was verified, validated, and evaluated by two subject domain experts. Most concepts were rated as ‘Compliant’ and some as ‘Partially Compliant’. Queries in SPARQL produced answers to the competency questions. Feedbacks from the user assessment proved that the executed results from the Do’a and Zikr al-Mā’thur ontology for counselling succeeded in fulfilling the users’ requirement. It is recommended that the sustainability of the ontology should be secured through constant submission of real cases by counsellors and people with similar roles for query analysis and results. Credible scholars should provide direction to trustworthy sources. Such essential input is valuable for content management and contributes towards very few domain ontologies that deliver support to professional works. It also provides the step-by-step procedures to ontology construction and assessment for Islamic collection for counselling intervention.

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Section: Related Workmentioning

confidence: 99%

Ontological Methodologies for Counselling Intervention: Do’a and Zikr Al-Mā’thur Corpus

Othman

Tawil

2021

Baghdad Sci.J

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“…The study that undertakes by [20] proposed a semantic model of all Islamic knowledge based on Holy Qurán, Hadith, Ijma', and Qiyas. This study utilized an ontology implement with Protege to produce the semantic representation of Islamic knowledge (Quran, Hadith, Ijma, Qiyas).…”

Section: Previous Workmentioning

confidence: 99%

A Novel Graph-Based Representation for Hadith Sanad

Luthfi¹

2019

IJATCSE

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Hadith is the secondary source of Islam legislation that has three-part, i.e., Sanad, Matn, and Taraf. Sanad is an essential part of Hadith that represent the chain of Narrator who conveys the Hadith. Based on Hadith Science, the authentication of the Hadith also could be observed through the state of its Sanad. Most studies on the Hadith Sanad representation apply an ontology and XML. Thus, this study proposed a new model of Sanad Hadith representation exploits the Graph model. First, the candidate of Graph node and Graph relation were extracted automatically from raw Arabic Hadith text using Arabic Part of Speech (A-POS) and Arabic Named Entity Recognition (A-NER). Then, a novel machine learning model for the Hadith Sanad Graph Construction developed employs SVM and GBM algorithm. That model attained the best performance on 0.84 and 0.92 precision average, 0.83 and 0.91 recall average, 0.82 and 0.90 f1-score average. The final result of this study was a Hadith Sanad Graph that had been verified the correctness compare with the original Hadith text.

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Computational Ontologies for a Semantic Representation of the Islamic Knowledge

Cited by 2 publications

References 7 publications

Ontological Methodologies for Counselling Intervention: Do’a and Zikr Al-Mā’thur Corpus

Ontological Methodologies for Counselling Intervention: Do’a and Zikr Al-Mā’thur Corpus

A Novel Graph-Based Representation for Hadith Sanad

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