RDFMutate : Mutation-Based Generation of Knowledge Graphs

Tobias John; Einar Broch Johnsen; Eduard Kamburjan

doi:10.1007/978-3-032-09530-5_17

RDFMutate : Mutation-Based Generation of Knowledge Graphs

Tobias John
, Einar Broch Johnsen
, Eduard Kamburjan

University of Oslo

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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.

Original language	English
Title of host publication	The Semantic Web - ISWC 2025
Number of pages	18
Place of Publication	Cham
Publisher	Springer Nature Switzerland
Publication date	29 Oct 2025
Edition	2026
Pages	295-312
ISBN (Print)	978-3-032-09529-9
ISBN (Electronic)	978-3-032-09530-5
DOIs	https://doi.org/10.1007/978-3-032-09530-5_17
Publication status	Published - 29 Oct 2025
Event	International Semantic Web Conference - Nara, Japan Duration: 2 Nov 2025 → 6 Nov 2025 Conference number: 24

Conference

Conference	International Semantic Web Conference
Number	24
Country/Territory	Japan
City	Nara
Period	02/11/2025 → 06/11/2025

Series	Lecture Notes in Computer Science
Volume	16141

Keywords

Graph Generator
Application Testing
Graph Mutation

Access to Document

10.1007/978-3-032-09530-5_17

Cite this

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title = "RDFMutate : Mutation-Based Generation of Knowledge Graphs",

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.",

keywords = "Application Testing, Graph Generator, Graph Mutation, Graph Generator, Application Testing, Graph Mutation",

author = "Tobias John and Johnsen, \{Einar Broch\} and Eduard Kamburjan",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; International Semantic Web Conference, ISWC ; Conference date: 02-11-2025 Through 06-11-2025",

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doi = "10.1007/978-3-032-09530-5\_17",

language = "English",

isbn = "978-3-032-09529-9",

series = "Lecture Notes in Computer Science",

pages = "295--312",

booktitle = "The Semantic Web - ISWC 2025",

publisher = "Springer Nature Switzerland",

edition = "2026",

}

RDFMutate : Mutation-Based Generation of Knowledge Graphs. / John, Tobias; Johnsen, Einar Broch; Kamburjan, Eduard.
The Semantic Web - ISWC 2025. 2026. ed. Cham : Springer Nature Switzerland, 2025. p. 295-312 (Lecture Notes in Computer Science, Vol. 16141).

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - RDFMutate : Mutation-Based Generation of Knowledge Graphs

AU - John, Tobias

AU - Johnsen, Einar Broch

AU - Kamburjan, Eduard

N1 - Conference code: 24

PY - 2025/10/29

Y1 - 2025/10/29

N2 - 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.

AB - 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.

KW - Application Testing

KW - Graph Generator

KW - Graph Mutation

KW - Graph Generator

KW - Application Testing

KW - Graph Mutation

U2 - 10.1007/978-3-032-09530-5_17

DO - 10.1007/978-3-032-09530-5_17

M3 - Article in proceedings

SN - 978-3-032-09529-9

T3 - Lecture Notes in Computer Science

SP - 295

EP - 312

BT - The Semantic Web - ISWC 2025

PB - Springer Nature Switzerland

CY - Cham

T2 - International Semantic Web Conference

Y2 - 2 November 2025 through 6 November 2025

ER -

RDFMutate : Mutation-Based Generation of Knowledge Graphs

Abstract

Conference

Keywords

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Cite this