arXiv Open Access 2025

AnnoGram: An Annotative Grammar of Graphics Extension

Md Dilshadur Rahman Md Rahat-uz- Zaman Andrew McNutt Paul Rosen
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Abstrak

Annotations are central to effective data communication, yet most visualization tools treat them as secondary constructs -- manually defined, difficult to reuse, and loosely coupled to the underlying visualization grammar. We propose a declarative extension to Wilkinson's Grammar of Graphics that reifies annotations as first-class design elements, enabling structured specification of annotation targets, types, and positioning strategies. To demonstrate the utility of our approach, we develop a prototype extension called Vega-Lite Annotation. Through comparison with eight existing tools, we show that our approach enhances expressiveness, reduces authoring effort, and enables portable, semantically integrated annotation workflows.

Topik & Kata Kunci

Penulis (4)

M

Md Dilshadur Rahman

M

Md Rahat-uz- Zaman

A

Andrew McNutt

P

Paul Rosen

Format Sitasi

Rahman, M.D., Zaman, M.R., McNutt, A., Rosen, P. (2025). AnnoGram: An Annotative Grammar of Graphics Extension. https://arxiv.org/abs/2507.04236

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Tahun Terbit
2025
Bahasa
en
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arXiv
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Open Access ✓