AI RESEARCH
From Historical Tabular Image to Knowledge Graphs: A Provenance-Aware Modular Pipeline
arXiv CS.AI
•
ArXi:2605.08222v1 Announce Type: cross Handwritten archival tables contain rich historical information, yet transforming them into structured representations, such as Knowledge Graphs, requires integrating table structure recognition, handwriting recognition, and semantic interpretation - a complex multimodal process. End-to-end AI implementations can obscure these steps, resulting in opaque algorithmic operations that hinder human oversight, critical assessment, and trust.