A syntactic analysis of accessibility to a corpus of statistical graphs
W4A '08 Proceedings of the 2008 international cross-disciplinary conference on Web accessibility (W4A)
Semantic Annotation and Question Answering of Statistical Graphs
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Modeling and querying graphical representations of statistical data
Web Semantics: Science, Services and Agents on the World Wide Web
Evaluating a Tool for Improving Accessibility to Charts and Graphs
ACM Transactions on Computer-Human Interaction (TOCHI)
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Statistical graphs are ubiquitous mechanisms for data visualization such that most, if not all, enterprises communicate information through them. However, many graphs are stored as unstructured images or proprietary binary objects, making them difficult to work with beyond the reports in which they are embedded. While graphs can be mapped to more common XML representations, these lack expressive semantics to discover new knowledge about them or to answer queries at various levels of granularity. This paper describes an OWL ontology that facilitates the representation, exchange, reasoning and query answering of statistical graph data. We illustrate the advantages of using an ontological approach to discover and query about time-series statistical graphs.