Authors:
Stefan Flöring
1
and
H.-Jürgen Appelrath
2
Affiliations:
1
OFFIS Institute for Computer Science, Germany
;
2
University of Oldenburg, Germany
Keyword(s):
Analytical reasoning, Data management and knowledge representation, Interface and interaction techniques for visualization, Knowledge-assisted visualization.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Knowledge-Assisted Visualization
;
Visual Data Analysis and Knowledge Discovery
;
Visual Representation and Interaction
;
Visualization Taxonomies and Models
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.