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Pré-Publication, Document De Travail Année : 2020

Path Outlines: Browsing Path-Based Summaries of Linked Datasets

Résumé

The Semantic Web is made of structured sources of information, such as DBpedia or GeoNames, also known as Linked Data (LD). They can be linked and queried together. The information they contain is atomized into triples, each triple being a simple statement composed of a subject, a predicate and an object. Triples can be combined to form higher level statements following information needs. This granularity makes it difficult to produce overviews of the content. We introduce the concept of path-based summaries, which carries a higher level of semantics for data producers, and the tool Path Outlines to support LD producers in browsing path-based summaries of their datasets. We present its interface based on the broken (out)lines layout algorithm and the path browser visualisation. We report a characterisation of LD producers’ needs, and show that our approach, reifying path outlines, was informed by this observation. We compare Path Outlines with the current baseline technique (Virtuoso SPARQL query editor) in an experiment with 36 participants. We show that participants prefer Path Outlines, find it easier and more comfortable to use, and that it is faster and leads to better task completion and less errors.

Domaines

Informatique

Dates et versions

hal-02490218 , version 1 (25-02-2020)

Identifiants

Citer

Marie Destandau, Olivier Corby, Jean-Daniel Fekete, Alain Giboin. Path Outlines: Browsing Path-Based Summaries of Linked Datasets. 2020. ⟨hal-02490218⟩
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