Jovanovik, M., Vecovska, M., Jakubowski, M., & Hose, K. (2025). RDFGraphGen: An RDF Graph Generator based on SHACL Shapes. arXiv. https://doi.org/10.48550/arXiv.2407.17941
E192-02 - Forschungsbereich Databases and Artificial Intelligence E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML)
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ArXiv ID:
2407.17941
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Date (published):
25-Jul-2025
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Preprint Server:
arXiv
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Keywords:
Data Synthesis; RDF; SHACL
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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 this http URL 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.
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Research Areas:
Logic and Computation: 20% Information Systems Engineering: 80%
