Skip to main content
Article thumbnail
Location of Repository

Poster: Tweeting Visualizations for Collaborative Visual Analysis

By Aidan Slingsby, Jason Dykes and Jo Wood

Abstract

We demonstrate a new approach to collaborative visual analysis, in which descriptions of graphics are shared online. HiVE – a high-level descriptive language – captures the way in which graphics are built and configured. HiVE statements and commentary can be micro-blogged. Compliant software clients can interpret HiVE, provide user-interfaces to allow users to explore data through graphical reconfiguration and can generate HiVE expressions that can be used in a collaborative context. We demonstrate this approach using examples from our work with the insurance industry. Index Terms: E.3 [Data]: Coding and Information Theory

Topics: Formal models of communication, K.4.3 [Computers and Society
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.353.2475
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://gicentre.org/papers/sli... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.