Data Visualization

According to Friedman (2008) the "main goal of data visualization is to communicate information clearly and effectively through graphical means. It doesn’t mean that data visualization needs to look boring to be functional or extremely sophisticated to look beautiful. To convey ideas effectively, both aesthetic form and functionality need to go hand in hand, providing insights into a rather sparse and complex data set by communicating its key-aspects in a more intuitive way. Yet designers often fail to achieve a balance between design and function, creating gorgeous data visualizations which fail to serve their main purpose — to communicate information" - Vitaly Friedman (2008) "Data Visualization and Infographics" in: Graphics, Monday Inspiration, January 14th, 2008.


Polymer nanocomposites consist of a polymer matrix and fillers with at least one dimension below 100 nanometers (nm) [L. Schadler et al., Jom 59(3), 53–60 (2007)].

In the context of Smart Cities, indicator definitions have been used to calculate values that enable the comparison among different cities.

/*-->*/ /*-->*/ The rapidly decreasing cost of gene sequencing has resulted in a deluge of genomic data from across the tree of life; however, outside a few model org

As personal assistant software matures and assumes more autonomous control of user activities, it becomes more critical that this software can tell the user why it is doing what it is doing, and instill trust in the user that its task knowledge reflects standard practice and is being appropriatel

This paper introduces POMELo, a simple, web-based PML (Proof Markup Language) editor. The objective of POMELo is to allow users to create, edit, validate and export provenance information in the form of PML documents.

The World Wide Web is a vast, diverse, and dynamic ecosys- tem of content authored and consumed with innumerable frequency. Al- though content may have an original purpose, it can and will be repur- posed in new and unexpected ways.

As the web content is increasingly generated in more diverse situations, provenance is becoming more and more critical. While a variety of approaches have been investigated for capturing and making use of provenance metadata, arguably no single best-practice approach has emerged.