Muhammed, M., Azab, S., Ali, N., Gheith, M. (2024). Arabic Ontology for Hadith texts - A survey. The Egyptian Journal of Language Engineering, 11(1), 1-14. doi: 10.21608/ejle.2024.266774.1062
Mariam Adel Muhammed; Shahira Shaban Azab; Nesrin Ali; Mervat Gheith. "Arabic Ontology for Hadith texts - A survey". The Egyptian Journal of Language Engineering, 11, 1, 2024, 1-14. doi: 10.21608/ejle.2024.266774.1062
Muhammed, M., Azab, S., Ali, N., Gheith, M. (2024). 'Arabic Ontology for Hadith texts - A survey', The Egyptian Journal of Language Engineering, 11(1), pp. 1-14. doi: 10.21608/ejle.2024.266774.1062
Muhammed, M., Azab, S., Ali, N., Gheith, M. Arabic Ontology for Hadith texts - A survey. The Egyptian Journal of Language Engineering, 2024; 11(1): 1-14. doi: 10.21608/ejle.2024.266774.1062
1The faculty of Graduate Studies for Statistical Research , Cairo University.
2The faculty of Graduate Studies for statistical Research, Cairo University
3FSSR
4Department of Computer Science, FGSSR, Cairo University, Egypt.
Abstract
Hadith texts play a significant role in Islamic scholarship, providing guidance for Muslims in understanding and practicing Islam. This paper explores the importance of Hadith texts, their categorization based on reliability, and the structure of a typical Hadith. It discusses the use of software tools and ontologies in analyzing Hadith texts. The paper also examines the Arabic language, particularly its complexities and the challenges it poses in Natural Language Processing tasks. Arabic is classified into Classical, Modern, and dialectal forms. Arabic has many challenges that affect the building of ontologies; for instance, the lack of linguistic resources and complex morphology. The paper also explores the development of ontologies in Islamic studies, specifically for Hadith, highlighting their unique characteristics and applications. Several research works related to Hadith ontology and its potential applications are discussed, including the creation of Al-Hadith WordNet, computational analysis of Hadith texts, and the development of ontology-based systems for authentication and retrieval of Hadith information.