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Eleonora Laurenza

Univ.Ass.in / PhD

Research Areas

  • Data Engineering, Knowledge Representation and Reasoning, Database Theory, Reasoning in Knowledge Graphs, Scalable Reasoning, Knowledge Graphs, Artificial Intelligence, Databases
Eleonora Laurenza

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

Contact

2026W

2027S

 

  • Semantic-aware query answering with Large Language Models / Atzeni, P., Baldazzi, T., Bellomarini, L., Laurenza, E., & Sallinger, E. (2026). Semantic-aware query answering with Large Language Models. DATA & KNOWLEDGE ENGINEERING, 161, Article 102494. https://doi.org/10.1016/j.datak.2025.102494
    Project: KnowledgeGraph (2020–2028)
  • SpaceKG: Towards exploiting Knowledge Graphs in space systems / Patrignani, L., Laurenza, E., Sallinger, E., Vlad, A., & Gaudenzi, P. (2025). SpaceKG: Towards exploiting Knowledge Graphs in space systems. Acta Astronautica, 236, 967–981. https://doi.org/10.1016/j.actaastro.2025.07.007
    Download: PDF (5.33 MB)
    Project: KnowledgeGraph (2020–2028)
  • The Joint Knowledge Graph Labs: Neuro-symbolic Reasoning in Action / Bellomarini, L., Blasi, L., Gentili, A., Laurendi, R., Laurenza, E., & Sallinger, E. (2025). The Joint Knowledge Graph Labs: Neuro-symbolic Reasoning in Action. In A. Margara, T. Kliegr, O. Savkovic, S. Ahmetaj, R. Tommasini, L. Bellomarini, E. Kharlamov, I. G. Ciuciu, D. Roman, G. Konstantinidis, E. Sallinger, & A. Soylu (Eds.), Companion Proceedings of the 9th International Joint Conference on Rules and Reasoning (RuleML+RR 2025) :  also co-located with 21th Reasoning Web Summer School (RW 2025) and 17th DecisionCAMP 2025 as part of Declarative AI 2025. CEUR-WS.org. https://doi.org/10.34726/12522
    Download: PDF (953 KB)
    Project: BILAI (2024–2029)
  • Towards FATEful Smart Contracts / Bellomarini, L., Favorito, M., Laurenza, E., Nissl, M., & Sallinger, E. (2025). Towards FATEful Smart Contracts. In G. Montoya, E. Sallinger, & G. Vargas-Solar (Eds.), Proceedings of the 16th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2024). CEUR-WS.org. https://doi.org/10.34726/12523
    Download: PDF (419 KB)
  • Towards FATEful Smart Contracts / 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 / 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)
  • Swift Markov Logic for Probabilistic Reasoning on Knowledge Graphs / Bellomarini, L., Laurenza, E., Sallinger, E., & Sherkhonov, E. (2023). Swift Markov Logic for Probabilistic Reasoning on Knowledge Graphs. Theory and Practice of Logic Programming, 23(3), 507–534. https://doi.org/10.1017/S1471068422000412
  • 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
  • Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice / Bellomarini, L., Fayzrakhmanov, R., Gottlob, G., Kravchenko, A., Laurenza, E., Nenov, Y., Reissfelder, S., Sallinger, E., Sherkhonov, E., Vahdati, S., & Wu, L. (2022). Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 129, 407–422. https://doi.org/10.1016/j.future.2021.10.021
  • 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
  • Rule-based Anti-Money Laundering in Financial Intelligence Units: Experience and Vision / 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)