The InfoVis 2004 contest led to the development of several bibliography visualization systems. Even though each of these systems offers some unique views of the bibliography data, there is no single best system offering all the desired views. We have thus studied how to consolidate the desirable functionalities of these systems into a cohesive design. We have also designed a few novel visualiza...

This paper presents some of the most important features of a tree visualisation system called Latour, developed for the purposes of information visualisation. This system includes a number of interesting and unique characteristics, for example the provision for visual cues based on complexity metrics on graphs, which represent general principles that, in our view, graph based information visual...

I n 1987, the National Science Foundation (NSF) Panel on Graphics, Image Processing, and Workstations published its landmark report, “Visualization in Scientific Computing,” which set out the vision for developing visualization as a scientific field (www.evl.uic. edu/core.php?mod=4&type=3&indi=348). During the 25 years since then, the visualization field’s horizons have broadened significantly,...

Multi-methodological research approaches have been strongly recommended for adoption to guide information systems (IS) research and deal with the complexities involved in the research. These research approaches require appropriate mapping and integration of multiple research methodologies. However, this is not an easy task to accomplish due to a series of philosophical, cultural and psychologic...

The paper presents a visualization-based approach to explore large databases of geographic metadata. The aim of the data exploration is to search and acquire expressive geographic data to create a geographic information system. Metadata repositories which provide information about available geographic data exist on the web and are usually queried to perform data acquisition task. We propose a v...

Information visualization and knowledge visualization use comparable techniques and methods. Based on mapping rules, resource objects are translated into visual objects as meaningful representations, offering easy and comprehensive access. Whereas information visualization displays data objects and relations, knowledge visualization maps knowledge elements and ontologies. Bridging this gap must...

As the area of information visualization grows, a massive amount of visualization techniques has been developed. Consequently, the choice of an appropriate visualization has become more complex, usually resulting in unsatisfactory data analysis. Although there exist models and classifications that could guide the choice of a visualization technique, they are mostly generalist and do not present...

Introduction Information visualization techniques aim to help the users deal with voluminous information by reducing their mental workload. However, the visualization techniques themselves often cause an adverse effect on the users. Instead of reducing information overload, they impose yet another mental workload due to the complexity in the visual data they try to visualize as well as the grap...