An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment
arXiv:2610.10541v1 Announce Type: new Abstract: Knowledge Graph (KG) quality depends not only on downstream graph validation, but also on the quality of tabular metadata used before integration. In metadata-only Semantic Table Interpretation (STI), where cell values are unavailable, noisy, or unsui…
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- 2026-10-10 04:00 · arXiv cs.AI
An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment