Collaborative Explorative Data Analysis Applied in HTML

Authors:
Mikael Jern
Affiliations:
NCVA --- National Center for Visual Analytics, ITN, Linkoping University, Norrköping, Sweden 60174
Venue:
CDVE '08 Proceedings of the 5th international conference on Cooperative Design, Visualization, and Engineering
Year:
2008

Citing 5
Cited 0

Smart documents for Web-enabled collaboration

Digital content creation
3D Data Visualization on the Web

MMM '98 Proceedings of the 1998 Conference on MultiMedia Modeling
The GAV Toolkit for Multiple Linked Views

CMV '07 Proceedings of the Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization
Integrating InfoVis and GeoVis Components

IV '07 Proceedings of the 11th International Conference Information Visualization
Story telling for presentation in volume visualization

EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper introduces a Visual Analytics framework for the support of collaborative explorative data analysis (EDA) based on task-relevant visualization components embedded in HTML documents. The goal of our research is to let the analyst visually explore and search the answers to various questions about data and simultaneously capture and save important discoveries and thus enable collaboration and sharing of gained insights and knowledge to remotely dispersed team members over the Internet. A team will benefit from an interactive collaborative instrument that can "coach" them in the understanding and testing of hypotheses leading to faster understanding and a higher confidence level in the visual information. The foundation for this approach is based on the publicly available GeoAnalytics visualization framework and class library (GAV).