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Path-Based Interactive Visual Exploration of Knowledge Graphs

Marie Destandau 1, 2 
2 ILDA - Interacting with Large Data
Inria Saclay - Ile de France, LISN - Laboratoire Interdisciplinaire des Sciences du Numérique, IaH - Interaction avec l'Humain
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 withthe 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 thatcan be produced from their data; and The Missing Path supports data producers in analysingincompleteness in their data. I show that the concept not only supports interactive visual interfaces for Knowledge Graphs but also helps better their quality.
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Submitted on : Monday, February 8, 2021 - 10:12:09 AM
Last modification on : Friday, August 5, 2022 - 9:27:34 AM
Long-term archiving on: : Sunday, May 9, 2021 - 6:22:10 PM


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  • HAL Id : tel-03134144, version 1


Marie Destandau. Path-Based Interactive Visual Exploration of Knowledge Graphs. Human-Computer Interaction [cs.HC]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASG063⟩. ⟨tel-03134144⟩



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