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Description:
In this work, (i) we define our extraction mechanism formally, building on recently proposed SHACL formalizations; (ii) we establish correctness properties, which relate shape fragments to notions of provenance for database queries; (iii) we compare shape fragments with SPARQL queries; (iv) we discuss implementation options; and (v) we present initial experiments demonstrating that shape fragments are a feasible new idea

More Information:
<ul>
<li>Grand Challenge/Workpackage(s): <a href="https://www.flandersairesearch.be/en/research/research-challenges/collaborative-ai" target="_blank" rel="noopener">GC3</a> - WP4</li>
<li>Responsible Research Lead: <a href="mailto:jan.vandenbussche@uhasselt.be" target="_blank" rel="noopener">Jan Van den Bussche</a></li>
<li>Authors: Thomas Delva, <a href="mailto:maxime.jakubowski@uhasselt.be" target="_blank" rel="noopener">Maxime Jakubowski</a></li>
<li>Programming Language: SPARQL/Python</li>
<li>Link to the repository: <a href="https://github.com/Shape-Fragments" target="_blank" rel="noopener">https://github.com/Shape-Fragments</a></li>
<li>Categories: Networks and Graphs</li>
</ul>

Using SHACL constraint language for a novel use of shapes, by which a set of shapes is used to extract a subgraph from an RDF graph, the so-called shape fragment.