1. Visualizing How-Provenance Explanations for SPARQL Queries;Companion Proceedings of the ACM Web Conference 2023;2023-04-30
2. A Systematic Literature Review on Data Provenance Visualization;Computational Intelligence, Data Analytics and Applications;2023
3. Provenance Framework for Multi-Depth Querying Using Zero-Information Loss Database;International Journal of Information Technology & Decision Making;2022-11-30
4. Zero-One Laws and Almost Sure Valuations of First-Order Logic in Semiring Semantics;Proceedings of the 37th Annual ACM/IEEE Symposium on Logic in Computer Science;2022-08-02
5. CaJaDE;Proceedings of the VLDB Endowment;2022-08