RDFGraphGen: An RDF Graph Generator based on SHACL Shapes

Fuente: arXiv
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Main Authors: Jovanovik, Milos, Vecovska, Marija, Jakubowski, Maxime, Hose, Katja
Format: Preprint
Published: 2024
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author Jovanovik, Milos
Vecovska, Marija
Jakubowski, Maxime
Hose, Katja
author_facet Jovanovik, Milos
Vecovska, Marija
Jakubowski, Maxime
Hose, Katja
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2407_17941
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle RDFGraphGen: An RDF Graph Generator based on SHACL Shapes
Jovanovik, Milos
Vecovska, Marija
Jakubowski, Maxime
Hose, Katja
Software Engineering
Databases
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.
title RDFGraphGen: An RDF Graph Generator based on SHACL Shapes
topic Software Engineering
Databases
url https://arxiv.org/abs/2407.17941