Ph.D
Group : Human-Centered Computing

Path-Based Interactive Visual Exploration of Knowledge Graphs

Starts on 01/10/2017
Advisor : PIETRIGA, Emmanuel

Funding :
Affiliation : Université Paris-Saclay
Laboratory : LRI - HCC

Defended on 18/12/2020, committee :

Research activities :

Abstract :
Knowledge Graphs facilitate the pooling and sharing of information from different domains. They rely on small units of information named triples that can be combined to form higher-level statements. Producing interactive visual interfaces to explore collections in Knowledge Graphs is a complex problem, mostly unresolved. In this thesis, I introduce the concept of path outlines to encode aggregate information relative to a chain of triples. I demonstrate 3 applications of the concept with the design and implementation of 3 open source tools. S-Paths lets users browse meaningful overviews of collections; Path Outlines supports data producers in browsing the statements that can be produced from their data; and The Missing Path supports data producers in analysing incompleteness in their data. I show that the concept not only supports interactive visual interfaces for Knowledge Graphs but also helps better their quality.

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.