A visualisation tool to support data producers in identifying and analysing incompleteness in Knowledge Graphs
The topic of my PhD, Path-Based Interactive Visual Exploration of Knowledge Graphs, was about finding semi-automatic visualisations, optimised for human understanding, to present collections in RDF Data.
My motivation was to address the problems users face when they need to access complex information.
Research projects (see all)
Last publications (see all)
- Marie Destandau and Jean-Daniel Fekete. The Missing Path: Analysing Incompleteness in Knowledge Graphs. 2021. Information Visualization, SAGE. doi:10.1177/1473871621991539
- Marie Destandau, Caroline Appert and Emmanuel Pietriga. S-Paths: Set-Based Visual Exploration of Linked Data Driven by Semantic Paths. 2020. Semantic Web Journal
- Marie Destandau and Jean-Daniel Fekete. 2020. Diagnosing Incompleteness in Wikidata with The Missing Path WikiWorkshop 2020, hosted by The Web Conference 2020. hal-02910712
- Marie Destandau. 2019. Interactive Visualisation Techniques for the Web of Data. In Companion Proceedings of the 2019 World Wide Web Conference (WWW ’19 Companion), May 13–17, 2019, San Francisco, CA, USA. ACM, New York, NY, USA, 5 pages. 10.1145/3308560.3314189