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Item GraSSML: Smart Schematic Diagrams, XML and Accessibility(The Eurographics Association, 2006) Fredj, Z. Ben; Duce, D. A.; Louise M. Lever and Mary McDerbyThis paper describes work in progress at Oxford Brookes University. The project called Graphical Structure Semantic Markup Languages (GraSSML) aims at defining higher-level diagram description languages for the World Wide Web, 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, and graphics. GraSSML is broken down into three levels: semantics, structure and presentation. Each of these levels captures a specific aspect of a diagram. The semantic level language is highly dependent on the type of diagram considered and the knowledge of the domain (ontology) in which it is used. Using the proposed approach, the structure and the semantics of the diagram is made available at the creation stage. The availability of this information offers new possibilities allowing Web Graphics to become "smart". The paper outlines the relevant limitations of SVG and some approaches aiming to resolve the problem of graphic accessibility. It then describes our approach in addressing some of these limitations and presents the new possibilities that these smart graphics lead to.Item skML a Markup Language for Distributed Collaborative Visualization(The Eurographics Association, 2005) Duce, D. A.; Sagar, M.; Louise M. Lever and Mary McDerbyThis paper describes a reference model and a markup language for representing processing and dataflow in distributed collaborative visualization applications. The language, skML, enables processing to be represented at each of the three layers: conceptual, logical and physical defined in the reference model. skML is an XML application. A particular feature of the approach is the use of RDF to associate annotations with skML elements, for example to describe resource constraints. An interactive editor for skML and prototype tools to use skML with IRIS Explorer and OpenDX are described. Extension to other visualization systems such as AVS and VTK is discussed. The paper concludes by comparing skML to other languages and environments for scientific workflow.