ChartMark: A Structured Grammar for Chart Annotation

Fuente: arXiv
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Main Authors: Chen, Yiyu, Wu, Yifan, Shen, Shuyu, Xie, Yupeng, Shen, Leixian, Xiong, Hui, Luo, Yuyu
Format: Preprint
Published: 2025
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author Chen, Yiyu
Wu, Yifan
Shen, Shuyu
Xie, Yupeng
Shen, Leixian
Xiong, Hui
Luo, Yuyu
author_facet Chen, Yiyu
Wu, Yifan
Shen, Shuyu
Xie, Yupeng
Shen, Leixian
Xiong, Hui
Luo, Yuyu
contents Chart annotations enhance visualization accessibility but suffer from fragmented, non-standardized representations that limit cross-platform reuse. We propose ChartMark, a structured grammar that separates annotation semantics from visualization implementations. ChartMark features a hierarchical framework mapping onto annotation dimensions (e.g., task, chart context), supporting both abstract intents and precise visual details. Our toolkit demonstrates converting ChartMark specifications into Vega-Lite visualizations, highlighting its flexibility, expressiveness, and practical applicability.
format Preprint
id arxiv_https___arxiv_org_abs_2507_21810
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle ChartMark: A Structured Grammar for Chart Annotation
Chen, Yiyu
Wu, Yifan
Shen, Shuyu
Xie, Yupeng
Shen, Leixian
Xiong, Hui
Luo, Yuyu
Computation and Language
Software Engineering
Chart annotations enhance visualization accessibility but suffer from fragmented, non-standardized representations that limit cross-platform reuse. We propose ChartMark, a structured grammar that separates annotation semantics from visualization implementations. ChartMark features a hierarchical framework mapping onto annotation dimensions (e.g., task, chart context), supporting both abstract intents and precise visual details. Our toolkit demonstrates converting ChartMark specifications into Vega-Lite visualizations, highlighting its flexibility, expressiveness, and practical applicability.
title ChartMark: A Structured Grammar for Chart Annotation
topic Computation and Language
Software Engineering
url https://arxiv.org/abs/2507.21810