GraSSML

Abstract

Graphical representations are a powerful way of conveying information. Their use has made life much easier for most sighted users, but people with disabilities or users who work in environments where visual representations are inappropriate cannot access information contained in graphics, unless alternative descriptions are included.We describe an approach called Graphical Structure Semantic Markup Languages (GraSSML) which aims at defining high-level diagram description languages which capture the structure and the semantics of a diagram and enable the generation of accessible and "smart" presentations in different modalities such as speech, text, graphic, etc. The structure and the semantics of the diagram are made available at the creation stage. This offers new possibilities for allowing Web Graphics to become "smart".

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 18 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.