Abstract
Considering the progress of Artificial Intelligence (AI) and the Information Technology (IT) we witness, during recent years, the spread of the application of these technologies in various fields. The research workflows, and in particular, the researches on Islamic sciences are not excepted from this issue. Several works have been carried out in order to exploit the AI and modern information technologies in the researches on Islamic sciences during recent years all over the Islamic regions and beyond them. It is very important to be aware of the latest developments in this field from different aspects like: 1) Benefiting from the advantages of modern technologies in the Islamic researches, 2) Reorganizing the educational plans in accordance with these developments, and 3) Introducing the new applications of AI in Islamic studies to the academics of computer sciences who may be interested in this field. In this paper, in the first step, a systematic review was conducted concerning more than four thousand international scientific articles related to applying AI and modern IT in Islamic studies, out of which 975 ones were chosen. At the same time, major institutions in this field were identified. In the next step the selected articles were classified in five thematic fields of 1) the Holy Qur’an, Tafsir and other related issues, 2) Hadith and Rijal Sciences, 3) Islamic Law and Jurisprudence, 4) the General Islamic Content in Social Media, 5) Other Subjects related to Islamic Sciences like Linguistics, History, Geography, etc. In the third step, the articles of each category were classified in a number of major subcategories that amount to 73 in total. Finally, in the last step, the distinctive articles in each field were introduced briefly.
Reference156 articles.
1. H. Sayoud, “A Visual Analytics based Investigation on the Authorship of the Holy Quran.,” in IVAPP, 2015, pp. 177–181.
2. S. H. M. Qahl, An automatic similarity detection engine between sacred texts using text mining and similarity measures. Rochester Institute of Technology, 2014.
3. H. Sayoud, “Authorship classification of two old arabic religious books based on a hierarchical clustering,” in Workshop Organizers, 2012, p. 65.
4. N. Varghese and M. Punithavalli, “Lexical and semantic analysis of sacred texts using machine learning and natural language processing,” International Journal of Scientific & Technology Research, vol. 8, no. 12, pp. 3133–3140, 2019.
5. M. Verma, “Lexical analysis of religious texts using text mining and machine learning tools,” International Journal of Computer Applications, vol. 168, no. 8, pp. 39–45, 2017.