VISO: a shared, formal knowledge base as a foundation for semi-automatic infovis systems

Authors:
Jan Polowinski;Martin Voigt
Affiliations:
TU Dresden, Dresden, Saxony, Germany;TU Dresden, Dresden, Saxony, Germany
Venue:
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Year:
2013

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Abstract

Interactive visual analytic systems can help to solve the problem of identifying relevant information in the growing amount of data. For guiding the user through visualization tasks, these semi-automatic systems need to store and use knowledge of this interdisciplinary domain. Unfortunately, visualisation knowledge stored in one system cannot easily be reused in another due to a lack of shared formal models. In order to approach this problem, we introduce a visualization ontology (VISO) that formally models visualization-specific concepts and facts. Furthermore, we give first examples of the ontology's use within two systems and highlight how the community can get involved in extending and improving it.