TAVA '11 addresses theoretical advances and practical applications of Visual Analytics.
This is the sixth event in a series of special tracks on visualization topics organized in conjunction with the annual I- KNOW conference on Knowledge Management and
Knowledge Technologies. Former events included the KIV (Knowledge and Information
Visualisation) special tracks since I-KNOW '03 and the KVD (Knowledge Visualisation and
Discovery) special tracks since I-KNOW '06. The focus of TAVA '11 on Visual Analytics
reflects the increasing scientific importance and the growing practical relevance of this exciting new discipline.
This one-day special track is a programme item of I-KNOW ’11, the 11th International
Conference on Knowledge Management and Knowledge Technologies which takes place in
Graz, Austria from September 7th to September 9nd 2011. The special track provides an
interdisciplinary forum for international scientists and practitioners to discuss theoretical and practical aspects of Visual Analytics. I-KNOW 2011 brings together international researchers and practitioners from the fields of knowledge management and knowledge technologies. The conference will cover relevant aspects from the fields of Knowledge Management, Knowledge Discovery, Knowledge Services, Social Media, Enterprise 2.0 and the Social Web. I-KNOW 2011 will be held concurrently with I-SEMANTICS 2011, the
International Conference on Semantic Systems.

Objectives
Visual Analytics is the science of analytical reasoning supported by interactive visual
techniques. It integrates techniques from visualization and computer graphics, statistics and mathematics, data management and knowledge representation, data analysis and machine learning and cognitive and perceptual sciences. Real-world applications in areas like business intelligence, media analysis or protection of intellectual property rights require efficient access and analysis of massive, heterogeneous, dynamic knowledge repositories which frequently contain ambiguous or conflicting evidence. Visual Analytics advocates a promising combination of automatic analysis and human pattern recognition abilities and domain knowledge to address this challenge.
TAVA’11 addresses theoretical advances and practical applications of Visual Analytics. In the best tradition of the I-KNOW conference series, the objective of the special track is to bring together researchers and practitioners in the field. TAVA’11 will provide a forum for the promotion of research and developments in Visual Analytics with particular attention towards the application of Visual Analytics in Knowledge Technologies and Knowledge Management.
We encourage submission of original research papers reporting on theoretical advances,
evaluation results or applications of Visual Analytics in relevant real-world scenarios.
Submissions will be reviewed by a board of international experts with accepted papers to
be published in the I-KNOW conference proceedings. The special track will be held in
English.

Topics
Topics of interest include but are not limited to:
* Visual representations and interaction techniques
* Visualisation of search results, text and multimedia corpora
* Visualisation of knowledge structures
* Visualisation of temporal and spatial data
* Human computer interfaces for knowledge and information visualisation
* New display and interaction technologies, i.e. multitouch and stereoscopic 3D
* Analytical reasoning support, i.e. discourse and collaborative visualization
* Data management and knowledge representations
* Data analysis and machine learning
* Knowledge relationship discovery
* Cognitive and perceptual factors in Visual Analytics
* Empirical studies of Visual Analytics techniques
* Evaluation of Visual Analytics techniques
* Application reports, i.e. success stories or stories on spectacular failures

Target Group
The topics mentioned above are addressed at researchers and developers as well as at
practitioners and providers in the fields of Visual Analytics.