RDFMutate : Mutation-Based Generation of Knowledge Graphs
- Tobias John,
- Einar Broch Johnsen,
- University of Oslo,
- ,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewPublication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages 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
2026Publisher
Springer Nature SwitzerlandBook series
- Book series name: Lecture Notes in Computer Science
Volume: 16141
ISBN (Print)
978-3-032-09529-9ISBN (Electronic)
978-3-032-09530-5Publication IDs
- Scopus: 105022005062
Host publication title
The Semantic Web - ISWC 2025Abstract
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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Funding Details
This work was partially supported by the EU projects REMARO (956200) and SM4RTENANCE (101123490).
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Related Event
Title
International Semantic Web Conference
Event type
ConferenceDegree of recognition
International eventDate
02/11/2025 - 06/11/2025Location
NaraJapan
