Print Email Facebook Twitter The smashHitCore ontology for GDPR-compliant sensor data sharing in smart cities Title The smashHitCore ontology for GDPR-compliant sensor data sharing in smart cities Author Kurteva, Anelia (TU Delft Design for Sustainability; Universitat Innsbruck) Chhetri, Tek Raj (Universitat Innsbruck) Tauqeer, Amar (Wageningen University & Research; Universitat Innsbruck) Hilscher, Rainer (Universitat Innsbruck; RTI International) Fensel, Anna (Wageningen University & Research; University of Innsbruck) Nagorny, Kevin (Institut für Angewandte Systemtechnik Bremen GmbH (ATB)) Correia, Ana (Institut für Angewandte Systemtechnik Bremen GmbH (ATB)) Zilverberg, Albert (Institut für Angewandte Systemtechnik Bremen GmbH (ATB)) Schstakov, Stefan (Leibniz University of Hannover) Date 2023 Abstract The adoption of the General Data Protection Regulation (GDPR) has resulted in a significant shift in how the data of European Union citizens is handled. A variety of data sharing challenges in scenarios such as smart cities have arisen, especially when attempting to semantically represent GDPR legal bases, such as consent, contracts and the data types and specific sources related to them. Most of the existing ontologies that model GDPR focus mainly on consent. In order to represent other GDPR bases, such as contracts, multiple ontologies need to be simultaneously reused and combined, which can result in inconsistent and conflicting knowledge representation. To address this challenge, we present the smashHitCore ontology. smashHitCore provides a unified and coherent model for both consent and contracts, as well as the sensor data and data processing associated with them. The ontology was developed in response to real-world sensor data sharing use cases in the insurance and smart city domains. The ontology has been successfully utilised to enable GDPR-complaint data sharing in a connected car for insurance use cases and in a city feedback system as part of a smart city use case. Subject ontologyknowledge graphconsentcontractsensor datasmart citymobilityinsurancecompliancedata sharing To reference this document use: http://resolver.tudelft.nl/uuid:e51a5094-acb2-401f-af8a-45d89dbce6f3 DOI https://doi.org/10.3390/s23136188 ISSN 1424-8220 Source Sensors, 23 (13) Part of collection Institutional Repository Document type journal article Rights © 2023 Anelia Kurteva, Tek Raj Chhetri, Amar Tauqeer, Rainer Hilscher, Anna Fensel, Kevin Nagorny, Ana Correia, Albert Zilverberg, Stefan Schstakov, More Authors Files PDF sensors_23_06188_v2.pdf 1.21 MB Close viewer /islandora/object/uuid:e51a5094-acb2-401f-af8a-45d89dbce6f3/datastream/OBJ/view