Eleonora Laurenza
Univ.Ass.in / PhD
Research Focus
- Information Systems Engineering: 20%
- Logic and Computation: 80%
Research Areas
- Data Engineering, Knowledge Representation and Reasoning, Database Theory, Reasoning in Knowledge Graphs, Scalable Reasoning, Knowledge Graphs, Artificial Intelligence, Databases
About
My research interests are in Knowledge Representation and Reasoning and Data Management, at the intersection between deductive logic-based and inductive methods of Artificial Intelligence. I also dedicate special interest to data modeling and Knowledge Graphs in particular.
Role
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PostDoc Researcher
Databases and Artificial Intelligence, E192-02
Courses
2025S
- Knowledge Graphs / 192.116 / VU
- Research and Career Planning for Doctoral Students / 184.778 / VU
- Research and Career Planning for Doctoral Students / 195.098 / VU
Publications
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Towards FATEful Smart Contracts
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Bellomarini, L., Favorito, M., Laurenza, E., Nissl, M., & Sallinger, E. (2024). Towards FATEful Smart Contracts. In Proceedings of the Sixth Distributed Ledger Technology Workshop (DLT 2024). Sixth Distributed Ledger Technology Workshop (DLT 2024), Turin, Italy. https://doi.org/10.34726/8619
Download: PDF (484 KB)
Project: KnowledgeGraph (2020–2028) -
Model-Independent Design of Knowledge Graphs
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Bellomarini, L., Gentili, A., Laurenza, E., & Sallinger, E. (2023). Model-Independent Design of Knowledge Graphs. In Proceedings of the 15th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2023). AMW 2023 - 15th Alberto Mendelzon International Workshop on Foundations of Data Management, Santiago de Chile, Chile. CEUR-WS.org. https://doi.org/10.34726/5426
Download: PDF (1.84 MB)
Projects: DeConquer (2023–2027) / KnowledgeGraph (2020–2028) / SustainGraph (2023–2025) - A Framework for Probabilistic Reasoning on Knowledge Graphs / Bellomarini, L., Benedetto, D., Laurenza, E., & Sallinger, E. (2023). A Framework for Probabilistic Reasoning on Knowledge Graphs. In Building Bridges between Soft and Statistical Methodologies for Data Science (Vol. 1433, pp. 48–56). https://doi.org/10.1007/978-3-031-15509-3_7
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Rule-based Anti-Money Laundering in Financial Intelligence Units: Experience and Vision
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Bellomarini, L., Laurenza, E., & Sallinger, E. (2020). Rule-based Anti-Money Laundering in Financial Intelligence Units: Experience and Vision. In Proceedings of the 14th International Rule Challenge, 4th Doctoral Consortium, and 6th Industry Track @ RuleML+RR 2020 co-located with 16th Reasoning Web Summer School {(RW} 2020) 12th DecisionCAMP 2020 as part of Declarative {AI} 2020, Oslo, Norway (virtual due to Covid-19 pandemic), 29 June - 1 July, 2020 (pp. 133–144). http://hdl.handle.net/20.500.12708/58323
Project: KnowledgeGraph (2020–2028) - Reasoning Under Uncertainty in Knowledge Graphs / Bellomarini, L., Laurenza, E., Sallinger, E., & Sherkhonov, E. (2020). Reasoning Under Uncertainty in Knowledge Graphs. In Rules and Reasoning (pp. 131–139). https://doi.org/10.1007/978-3-030-57977-7_9