Using Knowledge Graphs to ensure Privacy Policies in decentralized data collection systems
Biagio Boi, Christian Esposito · 2023
As data collection systems become more complex and pervasive, ensuring transparency and accountability in the acquisition and use of personal data becomes increasingly critical. This work investigates the use of knowledge graphs as a solution to this problem, emphasizing their capacity to represent and enforce privacy laws in a decentralized setting. Knowledge graphs provide full privacy management and can be applied also to decentralized systems by providing a consistent representation of data and privacy policies. We specifically discuss how knowledge graphs can be used to track consent management and data retention policies; we also present a case study of our framework in action, demonstrating how it can be used to ensure transparency in an increasingly popular decentralized data collection system. The implementation of such a framework in a decentralized context shows that the use of knowledge graphs can provide a transparent and accountable view of the data collection process, improving trust and confidence in the system among both data subjects and regulators.