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The International Data Spaces Information Model - An Ontology for Sovereign Exchange of Digital Content

: Bader, Sebastian; Pullmann, Jaroslav; Mader, Christian; Tramp, Sebastian; Quix, Christoph; Mueller, Andreas W.; Akyürek, Haydar; Boeckmann, Matthias; Imbusch, Benedikt T.; Lipp, Johannes; Geisler, Sandra; Lange, Christoph

Postprint urn:nbn:de:0011-n-6143912 (956 KByte PDF)
MD5 Fingerprint: 98f9ec1de514adff872702d48c5adf11
The original publication is available at
Erstellt am: 26.11.2020

Pan, J.Z.:
The Semantic Web - ISWC 2020. 19th International Semantic Web Conference. Proceedings. Pt.II : Athens, Greece, November 2-6, 2020
Cham: Springer Nature, 2020 (Lecture Notes in Computer Science 12507)
ISBN: 978-3-030-62465-1 (Print)
ISBN: 978-3-030-62466-8 (Online)
ISBN: 978-3-030-62467-5
International Semantic Web Conference (ISWC) <19, 2020, Online>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
01IS17031; InDaSpacePlus
Bundesministerium für Verkehr und digitale Infrastruktur BMVI (Deutschland)
19F2083A; MobiDS
European Commission EC
H2020; 780732; BOOST4.0
Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0
European Commission EC
H2020; 857202; DEMETER
Building an Interoperable, Data-Driven, Innovative and Sustainable European Agri-Food Sector
European Commission EC
H2020; 871481; TRUSTS
Trusted Secure Data Sharing Space
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()
Fraunhofer FIT ()
data model; Digital ecosystems; data sovereignty; federated architecture; ontology

The International Data Spaces initiative (IDS) is building an ecosystem to facilitate data exchange in a secure, trusted and semantically interoperable way. It aims at providing a basis for smart services and cross-company business processes, while at the same time guaranteeing data owners' sovereignty over their content. The IDS Information Model is an RDFS/OWL ontology defining the fundamental concepts for describing actors in a data space, their interactions, the resources exchanged by them, and data usage restrictions. After introducing the conceptual model and design of the ontology, we explain its implementation on top of standard ontologies as well as the process for its continuous evolution and quality assurance involving a community, driven by industry and research organisations. We demonstrate tools that support generation, validation, and usage of instances of the ontology with the focus on data control and protection in a federated ecosystem.