TY  - CONF
T1  - Personal Data Privacy Semantics in Multi-Agent Systems Interactions
A1  - Calvaresi, Davide
A1  - Schumacher, Michael
A1  - Calbimonte, Jean-Paul
TI  - Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems
Y1  - 2020
SP  - 55
EP  - 67
CY  - Aquila, Italy
M2  - doi: https://doi.org/10.1007/978-3-030-49778-1_5
KW  - Agent  data  privacy
KW  - Agent data interactions
KW  - Data  privacy
KW  - Privacy ontologies
KW  - Semantic agents
N2  - In recent years, we have witnessed the growth of applications relying on the use and processing of personal data, especially in the health and well-being domains. 
Users themselves produce these data (e.g., through self-reported data acquisition, or personal devices such as smartphones, smartwatches or other wearables). 
A key challenge in this context is to guarantee the protection of personal data privacy, respecting the rights of users for deciding about data reuse, consent to data processing and storage, anonymity conditions, or the right even to withhold or delete personal data.  
With the enforcement of recent regulations in this domain, such as the GDPR, applications have to mandatorily guarantee compliance, challenging current practices for personal data management. 
In this paper, we address this problem in the context of decentralized personal data applications, which may need to interact and negotiate conditions of data processing and reuse.
Following a distributed paradigm without a top-down organization, we propose an agent-based model in which personal data providers and data consumers are embedded into privacy-aware agents capable of negotiating and coordinating data reuse, consent, and policies, using semantic vocabularies for privacy and provenance.
ER  -