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

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › 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.

Originalsprog	Engelsk
Titel	The Semantic Web - ISWC 2025
Antal sider	18
Udgivelsessted	Cham
Forlag	Springer Nature Switzerland
Publikationsdato	29 okt. 2025
Udgave	2026
Sider	295-312
ISBN (Trykt)	978-3-032-09529-9
ISBN (Elektronisk)	978-3-032-09530-5
DOI	https://doi.org/10.1007/978-3-032-09530-5_17
Status	Udgivet - 29 okt. 2025
Begivenhed	International Semantic Web Conference - Nara, Japan Varighed: 2 nov. 2025 → 6 nov. 2025 Konferencens nummer: 24

Konference

Konference	International Semantic Web Conference
Nummer	24
Land/Område	Japan
By	Nara
Periode	02/11/2025 → 06/11/2025

Navn	Lecture Notes in Computer Science
Vol/bind	16141

Emneord

Application Testing
Graph Generator
Graph Mutation

Adgang til dokumentet

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

Citationsformater

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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",

year = "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",

publisher = "Springer Nature Switzerland",

pages = "295--312",

booktitle = "The Semantic Web - ISWC 2025",

edition = "2026",

}

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

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

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AU - John, Tobias

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AU - Kamburjan, Eduard

N1 - Conference code: 24

PY - 2025/10/29

Y1 - 2025/10/29

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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

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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

Konference

Emneord

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Fingeraftryk

Citationsformater