Overall Objectives
Scientific Foundations
Application Domains
New Results
Contracts and Grants with Industry
Other Grants and Activities

Section: Application Domains

Application Domains

AVIZ develops active collaboration with users from various application domains, making sure it can support their specific needs. By studying similar problems in different domains, we can begin to generalize our results and have confidence that our solutions will work for a variety of applications. Our current application domains include:

Business Intelligence

Business Intelligence aims at collecting and processing heterogeneous information to orient business decisions in term of product design or commercial offers. Both the quantity of information and the diversity of sites and formats where it can be collected is growing (e.g. Blogs and Social Network websites). We want to address the challenge of offering tools and components to quickly build analysis applications suited to these diverse inputs and the many specific tasks marketing analysts may attempt to do, helping them to quickly carry-out their work and produce understandable synthetic reports. We are working on such applications for EDF (see section  7.3 ).

Social Network Analysis

In the social networks domain, we are starting to work on exploratory visualization. Current studies in social networks presuppose that users know the nature of the networks they want to explore and the kinds of of transformations and layouts that will best suit their needs. This is often not true, and tools are very weak at helping users understand the nature of their networks and the transformations they could perform to get meaningful insights. This work began in 2004 with the arrival of Nathalie Henry in the Project. She is co-advised by Jean-Daniel Fekete and Peter Eades from the University of Sydney and NICTA, Australia.

We have been focusing on the use of the matrix representation to explore large graphs, building on our previous work using matrices for constraint-based programming. Matrices present challenging problems both interactively and mathematically. We are designing an interactive system to help users navigate and interact with large matrices. We are also preparing a survey on methods to reorder matrices, whether from graphs from tabular data.

Biological Visualization

Bioinformatics uses many complex data structures such as phylogenetic trees, genomes made of multi-scale parts (sequences of base pairs, genes, interaction pathways etc.) Biologists navigate through multitudes of these varied and complex structures daily in complex, changeable, data- and insight-driven paths. They also often need to edit these structures to annotate genes and add information about their functions. Visual Analytics is a powerful tool to help them, as we are currently pursuing in the Microbiogenomics project (see section  7.5 ).

Digital Libraries

In the digital Library domain, we collaborate with the French National Archives on an exploratory project to visualize and analyze the Evolution of the French Political Organization before and after the Revolution (see section  7.6 ).


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