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Faculty habilitation de

Faculty habilitation
Group :

Semantic enrichment of data: annotation and data linking

Starts on
Advisor :

Funding :
Affiliation : vide
Laboratory :

Defended on 27/06/2016, committee :
Rapporteurs:

Mathieu D’Aquin, senior research fellow, KMI, Open University (UK)
Marie-Laure Mugnier, Professeur des Universités, LIRMM, Université de Montpellier 2
Yannick Toussaint, CR INRIA (HDR), LORIA, Université Henri Pointcaré

Examinateurs :
Chantal Reynaud, Professeur des Universités, LRI, Université Paris Sud
Patrice Buche, IR (HDR), INRA, Montpellier Campus La Gaillarde
Thierry Charnois, Professeur des Universités, LIPN, Université Paris 13
Christine Froidevaux, Professeur des Universités, LRI, Université Paris Sud

Research activities :

Abstract :
The Linked Open Data initiative brought more and more RDF data sources to be published on the Web. Nevertheless, data sources are often heterogeneous since people organize data using different ontologies, different vocabularies and different URIs, even in the same application domain. Furthermore, many valuable information is still described in unstructured documents. In this presentation, I will describe some approaches that can help to semantically enrich more or less structured data.

Ph.D. dissertations & Faculty habilitations
CAUSAL LEARNING FOR DIAGNOSTIC SUPPORT


CAUSAL UNCERTAINTY QUANTIFICATION UNDER PARTIAL KNOWLEDGE AND LOW DATA REGIMES


MICRO VISUALIZATIONS: DESIGN AND ANALYSIS OF VISUALIZATIONS FOR SMALL DISPLAY SPACES
The topic of this habilitation is the study of very small data visualizations, micro visualizations, in display contexts that can only dedicate minimal rendering space for data representations. For several years, together with my collaborators, I have been studying human perception, interaction, and analysis with micro visualizations in multiple contexts. In this document I bring together three of my research streams related to micro visualizations: data glyphs, where my joint research focused on studying the perception of small-multiple micro visualizations, word-scale visualizations, where my joint research focused on small visualizations embedded in text-documents, and small mobile data visualizations for smartwatches or fitness trackers. I consider these types of small visualizations together under the umbrella term ``micro visualizations.'' Micro visualizations are useful in multiple visualization contexts and I have been working towards a better understanding of the complexities involved in designing and using micro visualizations. Here, I define the term micro visualization, summarize my own and other past research and design guidelines and outline several design spaces for different types of micro visualizations based on some of the work I was involved in since my PhD.