View source for 2012-04-24: CFP: TAVA2012: Special Track on Theory and Applications of Visual Analytics (deadline ext.)

Special Track on Theory and Applications of Visual Analytics

5 September 2012
<br>Graz, Austria
<br>http://i-know.tugraz.at/i-science/tava

TAVA ’12 addresses theoretical advances and practical applications of Visual Analytics. This is the seventh event in a series of special tracks on visualisation 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, the KVD (Knowledge Visualisation and Discovery) special tracks since i-KNOW ’06, and TAVA since i-KNOW’11. The focus of TAVA ’12 on Visual Analytics reflects the increasing scientific importance and the growing practical relevance of this exciting new discipline. The special track provides an interdisciplinary forum for international scientists and practitioners to discuss theoretical and practical aspects of Visual Analytics.

This one-day special track is a programme item of i-KNOW 2012, the 12th International Conference on Knowledge Management and Knowledge Technologies which takes place in Graz, Austria from September 5th to September 7nd 2012. i-KNOW 2012 brings together international researchers and practitioners from the fields of knowledge management and knowledge technologies.

===Objectives===

Visual Analytics is the science of analytical reasoning supported by interactive visual techniques. It integrates techniques from visualisation 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’12 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’12 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 knowledge, semantic information and Linked Data
*    Visualisation of search results, text and multimedia corpora
*    Visualisation of temporal, spatial and sensory data
*    Visualisation of data quality and uncertainty in data
*    Process and workflow visualisation
*    Visual analysis methods for Big Data
*    Visual data mining
*    Visual support for reasoning and decision making
*    Discourse and collaborative visualisation
*    Human computer interfaces for visual analytics
*    Design and aesthetics for visual analytics
*    Cognitive and perceptual factors in Visual Analytics
*    Empirical studies of Visual Analytics techniques
*    Evaluation of Visual Analytics techniques
*    Application reports, i.e. success stories and reports on failures
*    Scalable projection and layouting algorithms
*    Data structures, frameworks, and models underlying visualisation
*    Surveys of related literature

===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.

===Important Dates===
*    Submission Deadline: 14 May 2012 (extended)
*    Notification of Acceptance: 28 May 2012
*    Camera Ready Version: 18 June 2012

===Submission Procedure===
Paper Submission: http://i-know.at/paper-submission

In case of problems or questions concerning the submission of papers, please contact the track chairs at tava@know-center.at.

===Notification of Acceptance and Publishing===
Authors of accepted papers will be notified by 7 May 2012. Accepted papers will be published within the i-KNOW 2012 conference proceedings. At least one author of an accepted paper must register for i-KNOW 2012 before the deadline for camera ready versions (4 June 2012) in order to get the paper published in the conference proceedings.

===Chairs of TAVA 2012===
*    Wolfgang Kienreich, Know-Center Graz (Austria)
*    Vedran Sabol, Know-Center Graz (Austria)
*    Christin Seifert, Know-Center Graz (Austria)

===Programme Committee===
*    Wolfgang Aigner, Vienna University of Technology (Austria)
*    Gennady Andrienko, Fraunhofer IAIS (Germany)
*    Alessio Bertone, Donau University (Austria)
*    Stefan Bertschi, loginb (Switzerland)
*    Anastasia Bezerianos, LRI – Université Paris-Sud (France)
*    Jean-Yves Blaise, CNRS (France)
*    Raffaele de Amicis, Fondazione Graphitech (Italy)
*    Urska Demsar, National centre for geocomputation (Ireland)
*    Geoff Ellis, Lancaster University (UK)
*    Jörn Kohlhammer, Fraunhofer IGD (Germany)
*    Mark Kröll, Know-Center (Austria)
*    Florian Mansmann, University of Konstanz (Germany)
*    Kresimir Matkovic, VR-VIS (Austria)
*    Silvia Miksch, Vienna University of Technology (Austria)
*    Daniel Weiskopf, University of Stuttgart (Germany)





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