Publication details
Authoring Semantic Annotations for Non-Visual Access to Graphics
| Authors | |
|---|---|
| Year of publication | 2018 |
| Type | Article in Periodical |
| Magazine / Source | Journal on Technology and Persons with Disabilities |
| MU Faculty or unit | |
| Citation | |
| Web | http://hdl.handle.net/10211.3/203010 |
| Keywords | Blind;Low Vision;Software;Ontology;SVG;Web |
| Description | Semantically-enhanced graphics are annotated with formal underpinnings in order to augment them with the semantics of what they depict. Among their many potential uses they provide means for more efficient accessibility of graphical data going beyond the traditional use of textual alternative descriptions, such as natural language interfaces. However, no efficient way of authoring these graphics currently exists. This paper aims to bridge the gap between authoring graphics and enhancing them with semantic formal structures in the form of ontologies by introducing Semantic Annotator for Inkscape (SAI), an authoring tool that allows for seamless addition of semantics to an SVG file supported by a given upper ontology in RDF format. The traditional disjointed approach of authoring a vector image and editing its supporting ontology using independent software tools has thus been unified into a single workspace, improving the efficiency of authoring semantically-enhanced graphics. Evaluation of SAI has shown greatly improved annotation times of semantically-enhanced graphics that can be later used for efficient non-visual natural-language-based content retrieval. |