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The smashHitCore ontology for GDPR-compliant sensor data sharing in smart cities

The smashHitCore ontology for GDPR-compliant sensor data sharing in smart cities
The smashHitCore ontology for GDPR-compliant sensor data sharing in smart cities
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.
consent, contracts, data sharing, GDPR, insurance, ontology, sensors, smart cities
1424-8220
Kurteva, Anelia
1b024131-3c61-4876-893a-97f5d731b554
Chhetri, Tek Raj
c3431de5-4860-43e5-b09f-3dbb752c8490
Tauqeer, Amar
c6270bb4-8e58-44ee-9866-c3e0ad41228e
Hilscher, Rainer
bc1d203c-30d1-46ba-bfe5-ba2c630f2f1b
Fensel, Anna
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Nagorny, Kevin
ee99e15c-1a45-46bc-9556-c03ebc1f5581
Correia, Ana
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Zilverberg, Albert
dd456969-2a10-4bdf-b7a5-2f0a3b91bb63
Schestakov, Stefan
18634630-db12-474c-9ccf-b79af7842f55
Funke, Thorben
76e08989-e537-4373-b9df-a39a906bfe9a
Demidova, Elena
8af7dea2-8dc6-40da-98b4-ea4a6593f2af
Kurteva, Anelia
1b024131-3c61-4876-893a-97f5d731b554
Chhetri, Tek Raj
c3431de5-4860-43e5-b09f-3dbb752c8490
Tauqeer, Amar
c6270bb4-8e58-44ee-9866-c3e0ad41228e
Hilscher, Rainer
bc1d203c-30d1-46ba-bfe5-ba2c630f2f1b
Fensel, Anna
6d0be8a7-8261-48f1-9214-fc5fc59c40d3
Nagorny, Kevin
ee99e15c-1a45-46bc-9556-c03ebc1f5581
Correia, Ana
c54489d2-8d03-4adf-b8c2-5e41647adc4b
Zilverberg, Albert
dd456969-2a10-4bdf-b7a5-2f0a3b91bb63
Schestakov, Stefan
18634630-db12-474c-9ccf-b79af7842f55
Funke, Thorben
76e08989-e537-4373-b9df-a39a906bfe9a
Demidova, Elena
8af7dea2-8dc6-40da-98b4-ea4a6593f2af

Kurteva, Anelia, Chhetri, Tek Raj, Tauqeer, Amar, Hilscher, Rainer, Fensel, Anna, Nagorny, Kevin, Correia, Ana, Zilverberg, Albert, Schestakov, Stefan, Funke, Thorben and Demidova, Elena (2023) The smashHitCore ontology for GDPR-compliant sensor data sharing in smart cities. Sensors, 23 (13), [6188]. (doi:10.3390/s23136188).

Record type: Article

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.

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Accepted/In Press date: 3 July 2023
Published date: 6 July 2023
Additional Information: 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. Publisher Copyright: © 2023 by the authors.
Keywords: consent, contracts, data sharing, GDPR, insurance, ontology, sensors, smart cities

Identifiers

Local EPrints ID: 481452
URI: http://eprints.soton.ac.uk/id/eprint/481452
ISSN: 1424-8220
PURE UUID: f2e518f6-db1f-4abd-bffd-cb257e265044
ORCID for Tek Raj Chhetri: ORCID iD orcid.org/0000-0002-3905-7878

Catalogue record

Date deposited: 29 Aug 2023 16:51
Last modified: 17 Mar 2024 04:21

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Contributors

Author: Anelia Kurteva
Author: Tek Raj Chhetri ORCID iD
Author: Amar Tauqeer
Author: Rainer Hilscher
Author: Anna Fensel
Author: Kevin Nagorny
Author: Ana Correia
Author: Albert Zilverberg
Author: Stefan Schestakov
Author: Thorben Funke
Author: Elena Demidova

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