Consent through the lens of semantics: state of the art survey and best practices
Consent through the lens of semantics: state of the art survey and best practices
The acceptance of the GDPR legislation in 2018 started a new technological shift towards achieving transparency. GDPR put focus on the concept of informed consent applicable for data processing, which led to an increase of the responsibilities regarding data sharing for both end users and companies. This paper presents a literature survey of existing solutions that use semantic technology for implementing consent. The main focus is on ontologies, how they are used for consent representation and for consent management in combination with other technologies such as blockchain. We also focus on visualisation solutions aimed at improving individuals’ consent comprehension. Finally, based on the overviewed state of the art we propose best practices for consent implementation.
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Kurteva, Anelia
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Chhetri, Tek Raj
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Pandit, Harshvardhan J.
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Fensel, Anna
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Kurteva, Anelia
1b024131-3c61-4876-893a-97f5d731b554
Chhetri, Tek Raj
c3431de5-4860-43e5-b09f-3dbb752c8490
Pandit, Harshvardhan J.
551d9a05-35c0-49f1-af68-eacc274e0159
Fensel, Anna
8ddb5191-c94d-4cb9-992b-bab99a720485
Kurteva, Anelia, Chhetri, Tek Raj, Pandit, Harshvardhan J. and Fensel, Anna
(2021)
Consent through the lens of semantics: state of the art survey and best practices.
Semantic Web, .
(doi:10.3233/sw-210438).
Abstract
The acceptance of the GDPR legislation in 2018 started a new technological shift towards achieving transparency. GDPR put focus on the concept of informed consent applicable for data processing, which led to an increase of the responsibilities regarding data sharing for both end users and companies. This paper presents a literature survey of existing solutions that use semantic technology for implementing consent. The main focus is on ontologies, how they are used for consent representation and for consent management in combination with other technologies such as blockchain. We also focus on visualisation solutions aimed at improving individuals’ consent comprehension. Finally, based on the overviewed state of the art we propose best practices for consent implementation.
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e-pub ahead of print date: 3 September 2021
Identifiers
Local EPrints ID: 481463
URI: http://eprints.soton.ac.uk/id/eprint/481463
ISSN: 1570-0844
PURE UUID: 187e3f5a-2109-4023-b176-321b898add97
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Date deposited: 29 Aug 2023 17:04
Last modified: 17 Mar 2024 04:21
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Contributors
Author:
Anelia Kurteva
Author:
Tek Raj Chhetri
Author:
Harshvardhan J. Pandit
Author:
Anna Fensel
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