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  4. ForgeTrustee: Guided and Comparable Modeling of Data Trustee Architectures
 
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2026
Conference Paper
Title

ForgeTrustee: Guided and Comparable Modeling of Data Trustee Architectures

Abstract
Designing data trustee architectures requires coordinating legal, organizational, and technical requirements, yet available approaches are either too high-level and descriptive or too technical for non-experts. ForgeTrustee addresses this gap with a web-based, question-driven wizard grounded in a formal ontology. The system translates familiar organizational decisions into a semantically rigorous model, continuously validates inputs with SHACL for completeness and consistency, and compiles the result into RDF for export, comparison and reuse. Uncommon but logically valid configurations remain selectable; the system surfaces inconsistencies, explains issues in plain language, and indicates suitable control families. We position ForgeTrustee within HCI for governance tooling, contrast it with ontology editors and enterprise governance platforms, and outline an evaluation with practitioners designing or operating data trustees. Preliminary feedback indicates that guided interaction and automatic validation reduce setup time and increase confidence compared to manual ontology editing.
Author(s)
Chwalek, Jessica  orcid-logo
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Feth, Denis  
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Gorlt, Jasmin
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Biedenbach, Mario  
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Mainwork
HCI for Cybersecurity, Privacy and Trust. 8th International Conference, HCI-CPT 2026. Proceedings  
Funder
Bundesministerium für Forschung, Technologie und Raumfahrt  
Conference
International Conference on HCI for Cybersecurity, Privacy and Trust 2026  
International Conference on Human-Computer Interaction 2026  
DOI
10.1007/978-3-032-29723-5_11
Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Keyword(s)
  • Data governance modeling

  • Data trustees

  • Guided wizard UI

  • Model comparison

  • Ontology

  • Security and compliance

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