GRAPE: A Guiding RML Authoring Projectional Editor in Action and User's First Impressions

Duchateau, Jakub; Debruyne, Christophe

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GRAPE: A Guiding RML Authoring Projectional Editor in Action and User's First Impressions

Duchateau, Jakub; Debruyne, Christophe

2026 • In CEUR Workshop Proceedings

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/336586

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Keywords :

RML Editor; Projectional Editor; User studies

Abstract :

[en] RDF Mapping Language (RML) facilitates Knowledge Graph construction but presents significant authoring challenges. GRAPE, an open-source projectional editor, aims to simplify RML authoring. GRAPE offers a guided, text-like interface preventing syntax errors while maintaining RDF flexibility. We showcase its core features, including its language-oriented design and specialized notation. A user study with 20 MSc students revealed diverse user preferences: some felt reassured by the guided approach, while others preferred traditional text editors. These findings inform future GRAPE development.

Research Center/Unit :

Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège

Disciplines :

Computer science

Author, co-author :

Duchateau, Jakub ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science

Debruyne, Christophe ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science

Language :

English

Title :

GRAPE: A Guiding RML Authoring Projectional Editor in Action and User's First Impressions

Publication date :

05 May 2026

Event name :

Demo Track of CoopIS 2025 - CoopIS-DT 2025 within the 31st International Conference on Cooperative Information Systems - CoopIS 2025

Event organizer :

Moataz Chouchen
Jeremy Mechouche

Event place :

Marbella, Spain

Event date :

20 - 22 October, 2025

Audience :

International

Journal title :

CEUR Workshop Proceedings

eISSN :

1613-0073

Publisher :

RWTH Aachen University, Aachen, Germany

Peer review/Selection committee :

Peer Reviewed verified by ORBi

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique

Funding number :

FNRS MIS F.4016.24

Available on ORBi :

since 09 October 2025

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193 (16 by ULiège)

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167 (3 by ULiège)

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Scopus citations^®
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Bibliography

J. Duchateau, C. Debruyne, GRAPE: Guiding RML authoring with a projectional editor, in: [5], 2025. URL: https://ceur-ws.org/Vol-3999/paper3.pdf.
A. Crotti Junior, C. Debruyne, A Protocol for KG Construction Tasks Involving Users, in: [5], 2025. URL: https://ceur-ws.org/Vol-3999/paper1.pdf.
T. Berger, M. Völter, H. P. Jensen, T. Dangprasert, J. Siegmund, Efficiency of projectional editing: A controlled experiment, in: Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2016, Association for Computing Machinery, New York, NY, USA, 2016, pp. 763–774. doi:10.1145/2950290.2950315.
J. Stütz, O. Karras, A. Oelen, S. Auer, A user-driven hybrid neuro-symbolic approach for knowledge graph creation from relational data, in: Cooperative Information Systems - 30th International Conference, CoopIS 2024, Porto, Portugal, November 19-21, 2024, Proceedings, volume 15506 of LNCS, Springer, 2024, pp. 169–185. doi:10.1007/978-3-031-81375-7_10.
D. Chaves-Fraga, I. Dasoulas, C. Debruyne, A. Dimou, U. Serles, D. V. Assche (Eds.), Proceedings of the 6th International Workshop on Knowledge Graph Construction, number 3999 in CEUR Workshop Proceedings, Aachen, 2025. URL: http://ceur-ws.org/Vol-3999.