Summary: KNOVA: INTRODUCING A REFERENCE MODEL FOR
KNOWLEDGE-BASED VISUAL ANALYTICS
OFFIS Institute for Computer Science, Oldenburg, Germany
Department for Database Systems, University of Oldenburg, Oldenburg, Germany
Keywords: Analytical reasoning, Data management and knowledge representation, Interface and interaction techniques
for visualization, Knowledge-assisted visualization.
Abstract: When creating interactive applications for data exploration three major challenges can be identified: The
integration of heterogeneous data sources at runtime, the integration of suitable visualization methods and the
availability of interaction methods which enable domain experts to (implicitly) apply their expert knowledge in
the knowledge driven exploration process. To address these challenges we introduce the KnoVA (Knowledge-
Based Visual Analytics) reference model, which allows for generating a description of visualization methods,
interaction methods and data sources. We then outline how this model can be useful to create knowledge based
visual analytics systems in a model driven software development process.
In public health, especially in the field of population-
based epidemiology, data analysis has early been