Digital Islamic Humanities

Digital Islamic Humanities

Application of Information Technology, Data Science, and Artificial Intelligence in Processing Digital Qur’anic Studies Content

Document Type : Original Article

Author
rasoul babamoradi
M.A. in Information Technology Management, Tarbiat Modares University, Tehran, Iran
10.22034/disah.2026.2083289.1064
Abstract
This systematic review, conducted using the PRISMA framework, examines the role of information technologies, data science, and artificial intelligence in the processing and analysis of digital Qur’anic studies content during the publication period from 2020 to 2025. In the process of searching and selecting articles, 35 high-quality studies were ultimately selected for final analysis. In the initial stage, a total of 150 articles were retrieved from reputable databases such as Google Scholar, Semantic Scholar, Scopus, and ResearchGate, using keywords related to Qur’anic technologies, artificial intelligence, semantic analysis, knowledge graphs, natural language processing, and digital exegesis. During the preliminary screening, articles relevant in terms of title and abstract were approved, reducing the number to 85. Subsequently, based on scientific methodology, empirical results, and a focus on structural, semantic, and validation technologies, the number of articles was narrowed down to 50. In the quality assessment stage, articles were scored according to criteria such as clarity of objectives, scientific approach, sample size, and innovation, and those with high scores (at least 80 out of 100) were selected. Finally, 35 articles with the highest scores and strong academic credibility were chosen for final analysis and extraction of findings. The results indicate that semantic database technologies, structural models, multilingual and multitask deep learning technologies, validation and interpretable evaluation technologies, as well as structural and syntactic analysis tools play a significant role in analyzing the conceptual, semantic, and structural relationships of Qur’anic verses. However, their effective application in the field of digital Qur’anic studies requires rich datasets, precise annotation, the development of multi-layered technologies, and data standardization. The development of robust and interpretable technologies, along with data standardization, constitutes the key to sustainable and effective utilization of modern technologies in this domain.
Keywords
anic Semantic Analysis
Multilingual Qur&‌‌rsquo
anic Analysis
Qur&‌‌rsquo
anic Natural Language Processing
Syntactic and Semantic Structure
Semantic Databases
Artificial Intelligence Technologies
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Digital Islamic Humanities
Volume 1, Issue 2
November 2025