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RDFMutate : Mutation-Based Generation of Knowledge Graphs

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 295-312 (18 pages)

Publication milestones

  • Published - 29/10/2025

Publication status

Published - 29/10/2025

Place of publication

Cham

Edition

2026

Publisher

Springer Nature Switzerland

Book series

  • Book series name: Lecture Notes in Computer Science
    Volume: 16141
978-3-032-09529-9

ISBN (Electronic)

978-3-032-09530-5

Publication IDs

  • Scopus: 105022005062

Host publication title

The Semantic Web - ISWC 2025

Abstract

This paper introduces RDFMutate, the first mutation-based tool to generate RDF knowledge graphs. RDFMutate enables developers to analyze the robustness of applications that operate on RDF, by generating variants of seed knowledge graphs, which are mutated according to a set of mutation operations and SHACL constraints. In contrast to existing tools to generate synthetic RDF graphs, RDFMutate provides a mutation-based approach that is accessible for both researchers and application developers, by providing a framework to define mutation rules and flexible selection of generated graphs.

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Citations
2
Captures
2

Funding Details

This work was partially supported by the EU projects REMARO (956200) and SM4RTENANCE (101123490).

Related Event

Title

International Semantic Web Conference

Event type

Conference

Degree of recognition

International event

Date

02/11/2025 - 06/11/2025

Location

NaraJapan