CC BY 4.0Schäfermeier, RalphRalphSchäfermeierMitsikas, TheodorosTheodorosMitsikasPaschke, AdrianAdrianPaschke2022-12-202022-12-202022https://publica.fraunhofer.de/handle/publica/430260https://doi.org/10.24406/publica-67110.24406/publica-6712-s2.0-85140294126We present a GDPR-compliant data privacy and access use case of a distributed data wallet and we explore its modeling using two options, AspectOWL and Prova. This use case requires a representation capable of expressing the dynamicity and interaction between parties. While both approaches provide the expressiveness of non-monotonic states and fluent state transitions, their scope and semantics are vastly different. AspectOWL is a monotonic context ontology language, able to represent dynamic state transitions and knowledge retention by wrapping parts of the ontology in isolated contexts, while Prova can handle state transitions at runtime using non-monotonic state transition semantics. We present the two implementations and we discuss the similarities, advantages, and differences of the two approaches.enGDPRKnowledge RepresentationProvaAspectOWLconference paper