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IMEC

Academic institutioneurope · be
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Representative Papers

From Access Control to Usage Control with User-Managed Access

Jan 26, 2026

Existing Web data storage platforms struggle to meet the demands of decentralized, semantically rich, and legally compliant data usage control. This work proposes a novel approach that integrates the User-Managed Access (UMA) authorization framework with the W3C Open Digital Rights Language (ODRL) policy language to replace Solid’s native access control mechanism, thereby decoupling authorization from storage. For the first time within the Solid ecosystem, this integration advances access control from mere permission management toward legally aware usage control. The authors also design a policy evaluation mechanism tailored for non-standardized semantic environments. A prototype implementation demonstrates that the proposed method maintains compatibility with Solid while enabling flexible, interoperable, and legally aligned data governance.

2 citationsRead paper

GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method

Sep 17, 2024arXiv.org

To address the lack of interpretability in temporal graph regression models, this paper proposes the first interpretable and traceable temporal graph neural network framework by integrating the Information Bottleneck (IB) principle with prototype learning. Methodologically: (1) it derives a novel mutual information bound tailored to graph-structured data, enabling joint optimization of feature compression and discriminability; (2) it introduces an unsupervised auxiliary classification head to enhance prototype concept disentanglement and improve semantic interpretability of the bottleneck layer; and (3) it unifies multi-task learning with prototype-guided training for temporal GNNs. Experiments on real-world traffic datasets demonstrate that the method significantly outperforms existing baselines in both prediction accuracy and interpretability metrics—including prototype relevance and attribution consistency—achieving a principled balance between high predictive performance and model transparency.

1 citationsRead paper
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