The code is open and available on INRIA's gitlab
S-Paths is a set-based Linked Data browser. It investigates a navigation strategy based on aggregation, relying on path characteristics to determine the most readable representation. It systematically identifies the best rated view on a given resource set, leaving users free to switch to another resource set, or to get a different perspective on the same set by selecting other semantic paths to visualize.
- Marie Destandau, Caroline Appert and Emmanuel Pietriga. S-Paths: Set-Based Visual Exploration of Linked Data Driven by Semantic Paths. publication
- 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
Conferences and talks
- l'atelier Culture - Inria, november 22nd, 2018, at the French national Library