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Content archived on 2024-05-29

Comparative Visual Analytic techniques for Relational Information Visualisation

Objective

The basic hypothesis of this project is that relational information visualisation approaches, embodied in graph drawing techniques for the exploration and navigation of large graphs are not sufficient and that a hybrid approach which incorporates multiple views of the data should be taken. The scale and complexity of the relational data sets that people in domains such as biochemical engineering, software development and financial modelling are attempting to study, understand and reason about has motivated t his work. Societies continued reliance on information and communications technologies has resulted in organizations generating, gathering, and storing "raw data" at a rate growing by 120% every year. Recent research suggests that the human race has created about 1 exabyte (1018) of data to date and that the next exabyte of data could be generated within the coming 3 years.

The ability for even a mid-sized organization to store tens to hundreds of terabytes of data is within reach. Massive storage technologies are rapidly outstripping our ability to effectively analyse, explore, and understand such voluminous data. Our aims in this project include, the exploration of hierarchical compound graphs suitable for visualisation and exploration on different levels of abstraction and across different viewing paradigms, exploration of different space decomposition techniques suitable for our widely cited FADE paradigm, the study of fast approximate force directed layout algorithms in comparison with structure and city-plot layout techniques, the extension of our visual pr's abstraction technique from the node-link visualisation to both structure and city-plot views and an in-situ experimentation with our hybrid visualisation approach in a real world software engineering environment.

Fields of science (EuroSciVoc)

Topic(s)

Call for proposal

FP6-2004-MOBILITY-12
See other projects for this call

Funding Scheme

IRG - Marie Curie actions-International re-integration grants

Coordinator

NATIONAL UNIVERSITY OF IRELAND DUBLIN
EU contribution
No data
Address
UCD, Belfield, Dublin 4

Ireland
Total cost
No data