A Transformation in Analytical Thematic Indexing: The Application of In-Text Relationship Evaluation of Indexes and the Role of Artificial Intelligence Seyyed Mahdi Majidi Nezami

Document Type : Original Article

Author

Member of faculty of Islamic sciences and culture institute

Abstract

This study examines and presents an innovative approach to analytical thematic indexing in the field of Islamic studies and humanities. The study focuses particularly on in-text relationship evaluation between the indexes of a work، using advanced AI technologies. Given the extensive volume and complexity of Islamic texts، the development of an efficient system for managing information in this area is necessary. Using an analytical-experimental method، this research examines the practical experiences of indexers، feedback from the information retrieval process، and the latest capabilities of AI. The primary objective of the study is to enhance the information management system in Islamic studies and humanities by designing a new indexing model، establishing connections between the indexes within a work، and improving categorization and retrieval methods using AI tools. The findings indicate the feasibility of creating a comprehensive and efficient indexing system for Islamic studies and humanities. By integrating human knowledge and AI، this system can improve text comprehension، fill research gaps، and facilitate interdisciplinary studies

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References

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Islamic Knowledge Management
Volume 5, Issue 2
February 2025
Pages 9-44

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History

  • Receive Date: 19 July 2024
  • Revise Date: 15 August 2024
  • Accept Date: 17 August 2024

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