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arXiv — cs.AI
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An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment
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 unsuitable, column headers become…
AI Summary & Key Takeaways
- 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 unsuitable, column headers become…
An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment
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