From Coding to Automatic Generation of Legends in Visual Analytics

Artignan, Guillaume; Hascoët, Mountaz

doi:10.1007/978-3-642-19802-1_28

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…To address this, 'style sheets' can be used to map semantics in the ontology to certain domain-specific graphical representations to be displayed to the user in the interface. One example of this is STOOG (Style sheet-based Toolkit for Graph Visualization), created by Artignan and Hascoët (2011), which provides an interface for users to define 2D icons to represent ontology concepts and to specify which attributes are rendered in the final ontology visualization. GraphViz (Ganser and North, 2000) was leveraged in STOOG for automated graph layout.…”

Section: Figurementioning

confidence: 99%

Building dynamic 3D visualizations through ontology-guided interactions with domain knowledge and simulation models

Ezzell

Fishwick²

2017

Journal of Simulation

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We need to find better ways of allowing non-computing experts to construct visualizations of dynamic models within familiar domain-specific contexts. Current methods used to construct these customized views, however, are expensive since content experts must employ engineers to code the mathematical model that defines the dynamic behaviour of the scenario. Engineers must then somehow visualize the output of the model. These tasks are typically performed with engineering software tools or just pure computer programming. We define an interface and interaction model that compresses this engineering overhead, thus narrowing the user interface gap between mathematical modelling and three-dimensional interactive visualization design and consumption. We present an interaction theory and corresponding software prototype. Both are discussed using a human cardiovascular system case study.

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Section: Figurementioning

confidence: 99%