---
id: 20261010-T0-08
title: "An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment"
url: https://ai.daily.yangsir.net/daily/20261010-T0-08
issue_date: 2026-10-10
publish_date: 2026-10-09T04:00:00.000Z
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2610.10541
---

# 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 unsuit

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2610.10541)

**详情页**：https://ai.daily.yangsir.net/daily/20261010-T0-08

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