RDFGraphGen: An RDF Graph Generator Based on SHACL Shapes
Journal
Lecture Notes in Computer Science
Knowledge Graphs
ISSN
0302-9743
Date Issued
2026-04-01
Author(s)
Vecovska, Marija
Jakubowski, Maxime
Hose, Katja
DOI
10.1007/978-981-95-5009-8_8
Abstract
Developing and testing modern RDF-based applications often requires access to RDF datasets with certain characteristics. Unfortunately, it is very difficult to publicly find domain-specific knowledge graphs that conform to a particular set of characteristics. Hence, in this paper we propose RDFGraphGen, an open-source RDF graph generator that uses characteristics provided in the form of SHACL (Shapes Constraint Language) shapes to generate synthetic RDF graphs. RDFGraphGen is domain-agnostic, with configurable graph structure, value constraints, and distributions. It also comes with a number of predefined values for popular schema.org classes and properties, for more realistic graphs. Our results show that RDFGraphGen is scalable and can generate small, medium, and large RDF graphs in any domain.
