Meme media and knowledge federation for exploratory visual analytics of big data

Abstract

This paper proposes the use of meme media and knowledge federation technologies as the basis for a generic framework of exploratory visual analytics of big data. We first propose a "coordinated multiple views" visualization framework, and then extend this to a "coordinated multiple analyses" visualization framework for the integration of clustering tools, frequent pattern mining tools, and statistical analysis tools into the framework. The webtop meme media system Webble World works as the enabling technology to implement these frameworks. Its improvisational knowledge federation capability allows us to improvisationally federate available external tools and services to work together in our framework. This provides our exploratory visual analytics framework with a large library of tools and data sources open for future extension. © 2014 Springer-Verlag Berlin Heidelberg.