iV2017 21st International Conference

Information Visualisation

11 - 14 July 2017

London South Bank University ● London ● UK ●

http://www.graphicslink.co.uk/IV2017/

9th International Symposium

Knowledge Domain Visualization

 

Knowledge Domain Visualization (KDViz) aims to advance our understanding of the structure and dynamics of a knowledge domain and augment our ability to identify and analyze a knowledge domain in a wide variety of quantitative and qualitative methods. KDViz emphasizes the role of visual analytics, information visualization, exploratory data analysis, information retrieval, information science, and text mining and other enabling techniques.

 

Aims

International Symposium on KDViz aims to provide an inter-disciplinary forum for researchers and practitioners from a wide variety of disciplines to address theories, methodologies, techniques, applications, evaluations and case studies in relation to KDViz. The symposium also aims to promote the cross-disciplinary awareness between disciplines such as information visualization and information science. For the purpose of this symposium, a knowledge domain is broadly defined as a dynamic, evolving intellectual structure of a given subject matter. Knowledge domain visualization aims to reveal the dynamics of a knowledge domain by utilizing a wide variety of techniques involving visual thinking, visual discovery, visual exploration, and visual analysis.

 

Scope

This symposium series encourages interdisciplinary work concerning information integration across areas such as information visualization and information science.

 

The symposium will seek original papers concerning, but not limited to, the following topics:

  • Mapping scientific frontiers
  • Mapping science
  • Citation analysis, domain analysis and modeling
  • Historical, sociological, or philosophical studies of science
  • Knowledge discovery, knowledge representation, and knowledge diffusion
  • Invisible colleges, scientific networks, social networks
  • Qualitative and quantitative methodologies
  • Scientometrics
  • Dynamic models of scientific disciplines
  • Tools and databases in support of KDViz

Submission procedures: www.graphicslink.co.uk/IV2017/PAPERS.htm

Further information: www.graphicslink.co.uk/IV2017/

 

 

www.graphicslink.co.uk/IV2017/KDViz.htm

All other enquiries and submissions should be addressed to:
 
Conference Co-ordinator

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