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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...

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Autores principales: Kurteva, Anelia, Chhetri, Tek Raj, Tauqeer, Amar, Hilscher, Rainer, Fensel, Anna, Nagorny, Kevin, Correia, Ana, Zilverberg, Albert, Schestakov, Stefan, Funke, Thorben, Demidova, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346455/
https://www.ncbi.nlm.nih.gov/pubmed/37448036
http://dx.doi.org/10.3390/s23136188
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author Kurteva, Anelia
Chhetri, Tek Raj
Tauqeer, Amar
Hilscher, Rainer
Fensel, Anna
Nagorny, Kevin
Correia, Ana
Zilverberg, Albert
Schestakov, Stefan
Funke, Thorben
Demidova, Elena
author_facet Kurteva, Anelia
Chhetri, Tek Raj
Tauqeer, Amar
Hilscher, Rainer
Fensel, Anna
Nagorny, Kevin
Correia, Ana
Zilverberg, Albert
Schestakov, Stefan
Funke, Thorben
Demidova, Elena
author_sort Kurteva, Anelia
collection PubMed
description 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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spelling pubmed-103464552023-07-15 The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities Kurteva, Anelia Chhetri, Tek Raj Tauqeer, Amar Hilscher, Rainer Fensel, Anna Nagorny, Kevin Correia, Ana Zilverberg, Albert Schestakov, Stefan Funke, Thorben Demidova, Elena Sensors (Basel) Article 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. MDPI 2023-07-06 /pmc/articles/PMC10346455/ /pubmed/37448036 http://dx.doi.org/10.3390/s23136188 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kurteva, Anelia
Chhetri, Tek Raj
Tauqeer, Amar
Hilscher, Rainer
Fensel, Anna
Nagorny, Kevin
Correia, Ana
Zilverberg, Albert
Schestakov, Stefan
Funke, Thorben
Demidova, Elena
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
title_full The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities
title_fullStr The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities
title_full_unstemmed The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities
title_short The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities
title_sort smashhitcore ontology for gdpr-compliant sensor data sharing in smart cities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346455/
https://www.ncbi.nlm.nih.gov/pubmed/37448036
http://dx.doi.org/10.3390/s23136188
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