New Horizons in Islamic Studies Research: How Artificial Intelligence Is Transforming Text Cataloging, Indexing, and Analysis Processes

Document Type : Original Article

Author

Assistant Professor, Department of Information and Document Organization, Research Center for Islamic Documents and Information Management, Islamic Sciences and Culture Academy, Qom, Iran

10.22081/jikm.2026.75253.1129

Abstract

The organization of information and the vast body of written heritage in Islamic studies has long been a major concern of researchers, hadith scholars, and Islamic jurists. Although traditional methods of indexing, cataloging, abstracting, and bibliographic documentation have provided the foundation for religious scholarship, they face serious challenges when confronted with the massive volume of contemporary data and the need to address emerging issues, including slow processes, human error, and limited capacity for semantic retrieval. This study examines the profound transformation brought about by artificial intelligence, particularly intelligent text processing, in the organization of knowledge in Islamic studies. In this context, four key processes are examined: “intelligent cataloging and digitization of manuscripts,” “semantic and subject indexing,” “automatic summarization of lengthy argumentative texts,” and “extraction of conceptual relationships and knowledge trees.” Their underlying technical models are also explained from an analytical perspective. In addition, value-adding services, including advanced semantic search—illustrated through a Qur’anic example involving the term hisban and a jurisprudential example involving the term riba—and an intelligent research assistant are presented through an applied scenario concerning daman (liability) in cyberspace. The findings indicate that artificial intelligence should function not as a substitute for the mujtahid or researcher, but as an assistant that augments human cognition and memory. By freeing researchers from labor-intensive processes of information gathering, these tools enable them to devote greater attention to analysis, ijtihad, and scientific innovation. Finally, ethical and technical challenges, including systemic hallucinations (digital fabrication) and sectarian biases in data curation, are examined, and practical solutions are proposed.

Keywords

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References

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History

  • Receive Date: 16 October 2024
  • Revise Date: 20 December 2024
  • Accept Date: 08 October 2024

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