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Titelaufnahme
- TitelMaking sense of consent with knowledge graphs / Anelia Malcheva Kurteva
- verfasst von
- betreut von
- Erschienen
- Umfangxiv, 185 Seiten : Illustrationen, Diagramme
- Datum der AbgabeJuli 2022
- SpracheEnglisch
- DokumenttypDissertation
- Schlagwörter (DE)
- Schlagwörter (EN)
- URN
- Das Dokument ist online verfügbar
- Nachweis
The General Data Protection Regulation (GDPR) [1], which came into effect in May 2018, triggered a major technological shift towards greater transparency in data sharing [2]. GDPR has put emphasis on individuals’ rights and the importance of informed consent for the personal data sharing of European citizens. Despite the fact that data sharing has been a widely researched topic for years, there is a lack of solutions that enable the transparent implementation of consent in an easily understandable manner for both humans and machines in compliance with GDPR. This thesis presents a knowledge graph-based approach for consent management that supports machines and humans in making sense of consent through its entire life- cycle. This is achieved by combining approaches from the computer science and behavioural change fields and by considering the comprehension needs of both humans and machines.
This thesis demonstrates the feasibility of the approach through its successful adoption and implementation in two industrial data sharing use cases in the smart cities and insurance domains from the smashHit and CampaNeo projects. The main objectives of this work are to use knowledge graphs to model the life-cycle of informed consent (i.e. the request, comprehension, decision, and use of consent) and to graphically visualise it to individuals in effort to increase legal awareness of the significance of consent and the implications that follow [3]. The visualisations place emphasis on the pre-and post-consent stages, including how to request consent in an informed manner and what happens to one’s data after consent is given. Incentives, in the form of gamification, are further used to overcome issues such as blindly given consent and to raise the consent rates.
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