Abstract
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.
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Notes
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We abbreviate URIs following http://prefix.cc/.
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Currently Pellet: https://github.com/stardog-union/pellet.
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https://www.w3.org/TR/ {void,vocab-data-cube,shacl}/.
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Demo project available at https://jira.iais.fraunhofer.de/stash/projects/ICTSL/repos/ids-infomodel-demo/browse.
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Acknowledgements
This research was funded by the German Federal Ministries of Education and Research (grant number 01IS17031) and Transport and Digital Infrastructure (19F2083A), the EU H2020 projects BOOST4.0 (780732), DEMETER (857202) and TRUSTS (871481) and the Fraunhofer Cluster of Excellence “Cognitive Internet Technologies”. We thank Eva Corsi, Anna Kasprzik, Jörg Langkau and Michael Theß, who have also contributed to the IDS IM via the IDSA SWG4.
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Bader, S. et al. (2020). The International Data Spaces Information Model – An Ontology for Sovereign Exchange of Digital Content. In: Pan, J.Z., et al. The Semantic Web – ISWC 2020. ISWC 2020. Lecture Notes in Computer Science(), vol 12507. Springer, Cham. https://doi.org/10.1007/978-3-030-62466-8_12
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