# An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment

> 全文为英语

**Published:** 2026年10月9日
**Author:** Marcelo Valentim Silva, Hannes Herrmann, Valerie Maxville
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/an-explainable-header-centric-framework-for-large-scale-semantic-table-i

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…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2610.10541)

**标签：** #arXiv

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