RDFGraphGen: An RDF Graph Generator based on SHACL Shapes

TL;DR

RDFGraphGen is an open-source tool that generates synthetic RDF graphs based on SHACL shapes, enabling customizable and scalable datasets for testing RDF applications across domains.

Contribution

It introduces a domain-agnostic RDF graph generator that uses SHACL constraints for flexible, realistic, and scalable synthetic data creation.

Findings

Scalable generation of small, medium, and large RDF graphs

Supports configurable graph structures and value constraints

Includes predefined values for schema.org classes

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.