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  4. Trustworthy Data Exchange: Leveraging Linked Data for Enhanced IDS Certification
 
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October 21, 2024
Conference Paper
Title

Trustworthy Data Exchange: Leveraging Linked Data for Enhanced IDS Certification

Abstract
In today’s data-driven business environments, ensuring secure and controlled data sharing is essential. However, existing solutions often lack mechanisms to maintain data sovereignty and establish trust among ecosystem participants. This paper presents a novel approach to the establishment of International Data Spaces (IDS) certification, focusing on the use of a formal information model and Linked Data. The proposed certification framework leverages the formal information model to define the structure and semantics of the certification process. It enables machine-recognizable data representations, ensuring interoperability and facilitating automated processing of certification information. Using Linked Data principles, the framework provides an exact description of system capabilities and requirements. This increases transparency and facilitates more reliable and trustworthy data exchange within IDS.
Author(s)
Hackel, Sascha  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Makohl, Marie-Elisabeth
Petrac, Simon
Mainwork
INFORMATIK 2024. Lock-in or log out? Wie digitale Souveränität gelingt. Proceedings  
Conference
Gesellschaft für Informatik (GI Jahrestagung) 2024  
DOI
10.18420/inf2024_171
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • certification framework

  • data sovereignty

  • formal information model

  • International Data Spaces (IDS)

  • Linked Data

  • machine-recognizable data;

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