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Ph.D de

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 :
- Sihem Amer-Yahia - Reviewer and examiner - Senior Researcher, CNRS, Univ. Grenoble Alpes, France
- Roberto García González - Reviewer and examiner - Associate professor, Univ. de Lleida, Spain
- Nathalie Henry Riche - Examiner - Researcher, Microsoft Research, USA
- Michèle Sebag - Examiner - Senior Researcher, Univ. Paris-Saclay, CNRS, Inria, LRI, France
- Hala Skaf-Molli - Examiner - Associate professor, Univ. de Nantes, France
- Alain Giboin - Invited member - Emeritus Researcher, Wimmics, Inria, France
- Jean-Daniel Fekete - Examiner and co-supervisor - Senior Researcher, Univ. Paris-Saclay, CNRS, Inria, LRI, France
- Emmanuel Pietriga - Supervisor, Senior Researcher, Univ. Paris-Saclay, CNRS, Inria, LRI, France

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.