ChartMark: A Structured Grammar for Chart Annotation
This addresses the issue of limited accessibility and reuse in chart visualizations for data analysts and visualization developers, though it appears incremental as a structured grammar approach.
The authors tackled the problem of fragmented and non-standardized chart annotation representations by proposing ChartMark, a structured grammar that separates annotation semantics from visualization implementations, enabling cross-platform reuse and demonstrating its conversion into Vega-Lite visualizations.
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.