Understanding Interlinked Data { Visualising, Exploring, and Analysing Ontologies {
Olaf Noppens, Thorsten Liebig · 2007
Companies are faced with managing as well as integrating large collections of distributed data today. Here, the challenging task is not to store these volumes of structured and interlinked data but to understand and analyze its explicit or implicit relationships. However, up to date there is virtually no support in navigating, visu- alizing or even analyzing structured data sets of this size appropriately. This paper describes novel rendering techniques enabling a new level of visual analytics combined with interactive exploration principles. The underlying visualization rationale is driven by the principle of providing detail information with respect to qualitative as well as quantitative aspects on user demand while oering an overview at any time. By means of our prototypical implementation and a real-world data set we show how to answer several data specic tasks by interactive visual exploration.