Details
| Original language | English |
|---|---|
| Article number | 6188 |
| Journal | Sensors |
| Volume | 23 |
| Issue number | 13 |
| Publication status | Published - 6 Jul 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.
Keywords
- consent, contracts, data sharing, GDPR, insurance, ontology, sensors, smart cities
ASJC Scopus subject areas
- Chemistry(all)
- Analytical Chemistry
- Computer Science(all)
- Information Systems
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Biochemistry, Genetics and Molecular Biology(all)
- Biochemistry
- Physics and Astronomy(all)
- Instrumentation
- Engineering(all)
- Electrical and Electronic Engineering
Sustainable Development Goals
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In: Sensors, Vol. 23, No. 13, 6188, 06.07.2023.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities
AU - Kurteva, Anelia
AU - Chhetri, Tek Raj
AU - Tauqeer, Amar
AU - Hilscher, Rainer
AU - Fensel, Anna
AU - Nagorny, Kevin
AU - Correia, Ana
AU - Zilverberg, Albert
AU - Schestakov, Stefan
AU - Funke, Thorben
AU - Demidova, Elena
N1 - Funding Information: This work is part of the smashHit H2020 project (grant agreement No 871477). We thank Volkswagen AG, LexisNexis Risk Solutions, Forum Virium Helsinki, Infotripla and ATOS for providing the use cases and supporting our collaboration. Further, we thank the legal team from University of Hannover (LUH/IRI) for their legal advice during the ontology specification.
PY - 2023/7/6
Y1 - 2023/7/6
N2 - 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.
AB - 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.
KW - consent
KW - contracts
KW - data sharing
KW - GDPR
KW - insurance
KW - ontology
KW - sensors
KW - smart cities
UR - http://www.scopus.com/inward/record.url?scp=85164846234&partnerID=8YFLogxK
U2 - 10.3390/s23136188
DO - 10.3390/s23136188
M3 - Article
C2 - 37448036
AN - SCOPUS:85164846234
VL - 23
JO - Sensors
JF - Sensors
SN - 1424-8220
IS - 13
M1 - 6188
ER -