Similarity-Based Clustering of Pre-Modern Arabic Names

This study presents a processing pipeline to cluster premodern non-standardised Arabic person names for different catalogue and repositories. We normalised the names to reduce their heterogeneity, built the similarity graph, employed clustering to group similar and related names, and used a user interface to confirm or correct the resulting clusters.