Linking Hadith Narrator Identities Across Heterogeneous Arabic Biographical Databases: A Multi-Signal Entity Resolution Pipeline
arXiv:2607.05424v1 Announce Type: cross Abstract: The transmission chains (sanad) of Islamic Hadith literature encode relationships among tens of thousands of historical narrators whose biographical records are dispersed across independently maintained digital databases that share no common identifier. We present a two-phase entity resolution pipeline that links narrator names from the Sanadset 650K corpus - 650,986 Hadith records from 926 books containing 185,216 unique narrator name variants - to two biographical databases: Hadithtransmitters (Hawramani; 100,915 entries) and Muslimscholars (
The proliferation of digital historical archives and advancements in AI-driven entity resolution techniques are converging, making such cross-database linking feasible.
This work demonstrates how AI can reconstruct and analyze historical information from fragmented sources, enabling new forms of data-driven scholarship and potentially influencing cultural and religious understanding.
The ability to accurately link historical identities across disparate databases will significantly improve the completeness and reliability of biographical research within specific historical and religious contexts.
- · Historians (Islamic Studies)
- · Cultural preservation initiatives
- · NLP researchers specializing in historical texts
- · Digital humanities
More comprehensive and interconnected historical biographical datasets become available for researchers.
Improved understanding of social networks and intellectual transmission routes in pre-modern societies.
New AI tools and methodologies could be adapted for similar challenges in other historical or cultural domains, beyond Hadith studies.
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