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Interactive Visualisation Techniques for the Web of Data

Marie Destandau 1, 2
2 ILDA - Interacting with Large Data
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : The RDF format offers powerful possibilities for machines, such as reasoning or federated queries over interlinked datasets. However, presenting RDF data to humans is very challenging: its very structure defeats traditionnal approaches, as it separates information into small pieces, making it difficult for users to make sense of it. My PhD work proposes an approach that presents RDF data in a context, to make them understandable by humans. We first describe S-Paths, a system to support set-based exploration of a dataset's content. We show that it works well on simple models, but that its efficiency is limited by performance issues on very abstract models. Then we lay the basis for a second project, whose aim is to take one more step back and put these sets of entities in a broader context, to give a structural overview of Linked Datasets.
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https://hal.archives-ouvertes.fr/hal-02416185
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Submitted on : Tuesday, December 17, 2019 - 3:34:14 PM
Last modification on : Tuesday, February 4, 2020 - 2:22:02 PM
Document(s) archivé(s) le : Wednesday, March 18, 2020 - 8:40:15 PM

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Marie Destandau. Interactive Visualisation Techniques for the Web of Data. WWW 2019 - 28th International World Wide Web Conferences, May 2019, San Francisco, United States. pp.17-21, ⟨10.1145/3308560.3314189⟩. ⟨hal-02416185⟩

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