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 ( reposiTUm)

Glaser, P.-L., Sallinger, E., & Bork, D. (2025). The extended EA ModelSet—a FAIR dataset for researching and reasoning enterprise architecture modeling practices. Software and Systems Modeling, Article 111431. https://doi.org/10.1007/s10270-025-01278-1 ( reposiTUm)

Bellomarini, L., Gentili, A., Magnanimi, D., & Sallinger, E. (2025). Vadacode: A Logician-Friendly IDE for Datalog±. Proceedings of the VLDB Endowment, 18(12), 5411–5414. https://doi.org/10.14778/3750601.3750684 ( reposiTUm)

Dwyer, O. P., Chammas, L., Sallinger, E., & Davies, J. (2025). Using ontologies to facilitate healthcare process mining and analysis. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-025-00942-8 ( reposiTUm)

Bellomarini, L., Blasi, L., Nissl, M., & Sallinger, E. (2025). The Temporal Vadalog System: Temporal Datalog-Based Reasoning. Theory and Practice of Logic Programming, 25(2), 168–196. https://doi.org/10.1017/S1471068425000018 ( reposiTUm)

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 ( reposiTUm)

Lanzinger, M. P., Pichler, R., & Selzer, A. (2025). Avoiding Materialisation for Guarded Aggregate Queries. Proceedings of the VLDB Endowment, 18(5), 1398–1411. https://doi.org/10.14778/3718057.3718068 ( reposiTUm)

Gottlob, G., Lanzinger, M., Okulmus, C., & Pichler, R. (2024). Fast parallel hypertree decompositions in logarithmic recursion depth. ACM Transactions on Database Systems, 49(1), 1–43. https://doi.org/10.1145/3638758 ( reposiTUm)

Angles, R., Gottlob, G., Pavlović, A., Pichler, R., & Sallinger, E. (2023). SparqLog: A System for Efficient Evaluation of SPARQL 1.1 Queries via Datalog. Proceedings of the VLDB Endowment, 16(13), 4240–4253. https://doi.org/10.14778/3625054.3625061 ( reposiTUm)

Tian, Z., Lindner, P., Nissl, M., Koch, C., & Tannen, V. (2023). Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations. Proceedings of the ACM on Management of Data (PACMMOD), 1(2), 1–28. https://doi.org/10.34726/5391 ( reposiTUm)

Fazeli-Varzaneh, M., Ghorbi, A., Ausloos, M., Sallinger, E., & Vahdati, S. (2021). Sleeping Beauties of Coronavirus Research. IEEE Access, 9, 21192–21205. https://doi.org/10.1109/access.2021.3052918 ( reposiTUm)

Kolaitis, P. G., Pichler, R., Sallinger, E., & Savenkov, V. (2020). On the Language of Nested Tuple Generating Dependencies. ACM Transactions on Database Systems, 45(2), 1–59. https://doi.org/10.1145/3369554 ( reposiTUm)

Benedetto, D., Calautti, M., Hammad, H., Sallinger, E., & Vlad-Starrabba, A. (2025). A Datalog Rewriting Algorithm for Warded Ontologies. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (pp. 4356–4364). https://doi.org/10.24963/ijcai.2025/485 ( reposiTUm)

Bellomarini, L., Blasi, L., Nissl, M., & Sallinger, E. (2025). The Temporal Vadalog System. In 32nd International Symposium on Temporal Representation and Reasoning. 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025), London, United Kingdom of Great Britain and Northern Ireland (the). Schloss Dagstuhl. https://doi.org/10.4230/LIPICS.TIME.2025.15 ( reposiTUm)

Pavlovic, A., & Sallinger, E. (2024). SpeedE: Euclidean Geometric Knowledge Graph Embedding Strikes Back. In K. Duh, H. Gomez, & S. Bethard (Eds.), Findings of the Association for Computational Linguistics: NAACL 2024 (pp. 69–92). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-naacl.6 ( reposiTUm)

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 ( reposiTUm)

Baldazzi, T., Bellomarini, L., Ceri, S., Colombo, A., Gentili, A., & Sallinger, E. (2024). “Please, Vadalog, tell me why”: Interactive Explanation of Datalog-based Reasoning. In Proceedings 27th International Conference on Extending Database Technology (EDBT 2024) (pp. 834–837). OpenProceedings. https://doi.org/10.48786/edbt.2024.82 ( reposiTUm)

Colombo, A., Baldazzi, T., Bellomarini, L., Gentili, A., & Sallinger, E. (2024). LLM-based DatalogMTL Modelling of MiCAR-compliant Crypto-Assets Markets. In M. Alviano & M. P. Lanzinger (Eds.), Proceedings 5th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2024) co-located with the 17th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2024) (pp. 17–22). https://doi.org/10.34726/8523 ( reposiTUm)

Lanzinger, M., Sferrazza, S., Wałęga, P., & Gottlob, G. (2024). Fuzzy Datalog∃ over Arbitrary t-Norms. In N. Bjørner, M. Heule, & A. Voronkov (Eds.), Proceedings of 25th Conference on Logic for Programming, Artificial Intelligence and Reasoning (pp. 426–444). https://doi.org/10.29007/cngw ( reposiTUm)

Baldazzi, T., Benedetto, D., Bellomarini, L., Sallinger, E., & Vlad, A. (2024). Softening Ontological Reasoning with Large Language Models. In A. Rula, E. Sallinger, & O. Savkovic (Eds.), Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning co-located with 20th Reasoning Web Summer School (RW 2024) and 16th DecisionCAMP 2024 as part of Declarative AI 2024. https://doi.org/10.34726/8530 ( reposiTUm)

Colombo, A., Baldazzi, T., Bellomarini, L., Sallinger, E., & Ceri, S. (2024). Template-based Explainable Inference over High-Stakes Financial Knowledge Graphs. In Advances in Database Technology - Volume 28 Proceedings 28th International Conference on Extending Database Technology (EDBT 2025) (pp. 503–515). OpenProceedings.org. https://doi.org/10.48786/edbt.2025.40 ( reposiTUm)

Pavlovic, A., & Sallinger, E. (2023). Building Bridges: Knowledge Graph Embeddings Respecting Logical Rules (short paper). In B. Kimelfeld, M. V. Martinez, & R. Angles (Eds.), Proceedings of the 15th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2023). ( reposiTUm)

Grasmann, L., Pichler, R., & Selzer, A. (2023). Integration of Skyline Queries into Spark SQL. In F. Geerts & B. Vandevoort (Eds.), Proceedings 26th International Conference on Extending Database Technology (EDBT 2023) (pp. 337–350). OpenProceedings.org. https://doi.org/10.48786/edbt.2023.27 ( reposiTUm)

Pavlović, A., & Sallinger, E. (2023). ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion. In The Eleventh International Conference on Learning Representations (ICLR 2023) (pp. 1–45). OpenReview.net. https://doi.org/10.34726/5422 ( reposiTUm)

Sallinger, E. (2023). Knowledge Graphs in Action: from Theory to Systems and Real-world Applications (Abstract). In Proceedings of the 15th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2023). AMW 2023 - Alberto Mendelzon International Workshop on Foundations of Data Management, Santiago de Chile, Chile. http://hdl.handle.net/20.500.12708/192767 ( reposiTUm)

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 ( reposiTUm)

Heinzl, R., Nissl, M., & Sallinger, E. (2023). Towards Efficient Annotation Databases. In B. Kimelfeld, M. V. Martinez, & R. Angles (Eds.), Proceedings of the 15th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2023). CEUR-WS.org. https://doi.org/10.34726/5427 ( reposiTUm)

Merkl, T. C., Pichler, R., & Skritek, S. (2023). Diversity of Answers to Conjunctive Queries (extended Abstract). In B. Kimelfeld, M. V. Martinez, & R. Angles (Eds.), Proceedings of the 15th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2023). https://doi.org/10.34726/5393 ( reposiTUm)

Baldazzi, T., Bellomarini, L., & Sallinger, E. (2023). Reasoning over Financial Scenarios with the Vadalog System. In Proceedings 26th International Conference on Extending Database Technology (EDBT 2023) (pp. 782–791). OpenProceedings.org. https://doi.org/10.48786/edbt.2023.66 ( reposiTUm)

Ferranti, N., Krickl, A., & Nissl, M. (2021). Knowledge Graphs: Detection of Outdated News. In Proceedings of the {ISWC} 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 20th International Semantic Web Conference {(ISWC} 2021), Virtual Conference, October 24-28, 2021}, (pp. 1–5). http://hdl.handle.net/20.500.12708/55638 ( reposiTUm)

Graux, D., Janev, V., Jabeen, H., & Sallinger, E. (2021). A Big Data Learning Platform for the West Balkans and Beyond. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 2. ITiCSE 2021 - 26th {ACM} Conference on Innovation and Technology in Computer Science Education, Paderborn, Deutschland, Germany. https://doi.org/10.1145/3456565.3460026 ( reposiTUm)

Gulino, A., Ceri, S., Gottlob, G., Sallinger, E., & Bellomarini, L. (2021). Distributed Company Control in Company Shareholding Graphs. In 2021 IEEE 37th International Conference on Data Engineering (ICDE). ICDE 2021 - 37th {IEEE} International Conference on Data Engineering, Chania, Greece. https://doi.org/10.1109/icde51399.2021.00294 ( reposiTUm)

Nissl, M., Sallinger, E., Schulte, S., & Borkowski, M. (2021). Towards Cross-Blockchain Smart Contracts. In 2021 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS). DAPPS 2021 - International Conference on Decentralized Applications and Infrastructures, online event, Unknown. https://doi.org/10.1109/dapps52256.2021.00015 ( reposiTUm)

Baldazzi, T., Bellomarini, L., Sallinger, E., & Atzeni, P. (2021). Eliminating Harmful Joins in Warded Datalog+/−. In Rules and Reasoning (pp. 267–275). https://doi.org/10.1007/978-3-030-91167-6_18 ( reposiTUm)

Bachhofner, S., Kiesling, E., Kurniawan, K., Sallinger, E., & Waibel, P. (2021). Knowledge Graph Modularization for Cyber-Physical Production Systems. In Proceedings of the {ISWC} 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 20th International Semantic Web Conference {(ISWC} 2021), Virtual Conference, October 24-28, 2021 (pp. 1–5). http://hdl.handle.net/20.500.12708/55676 ( reposiTUm)

Bellomarini, L., Galano, G., Nissl, M., & Sallinger, E. (2021). Rule-based Blockchain Knowledge Graphs: Declarative {AI} for Solving Industrial Blockchain Challenges. In Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School {(RW} 2021) and 13th DecisionCAMP 2021 as part of Declarative {AI} 2021, Leuven, Belgium (virtual due to Covid-19 pandemic), 8 - 15 September, 2021} (pp. 1–16). http://hdl.handle.net/20.500.12708/55637 ( reposiTUm)

Bellomarini, L., Nissl, M., & Sallinger, E. (2021). Monotonic Aggregation for Temporal Datalog. In Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School {(RW} 2021) and 13th DecisionCAMP 2021 as part of Declarative {AI} 2021, Leuven, Belgium (virtual due to Covid-19 pandemic), 8 - 15 September, 2021} (pp. 1–23). http://hdl.handle.net/20.500.12708/58594 ( reposiTUm)

Graux, D., Janev, V., Jabeen, H., & Sallinger, E. (2021). Deploying a Strategy to Unlock Big Data Research and Teaching Activities in the West Balkan Region. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1. ITiCSE 2021 - 26th {ACM} Conference on Innovation and Technology in Computer Science Education, Paderborn, Deutschland, Germany. https://doi.org/10.1145/3430665.3456325 ( reposiTUm)

Nayyeri, M., Vahdati, S., Sallinger, E., & Mohtashim Alam, M. (2021). Pattern-Aware and Noise-Resilient Embedding Models. In Advances in Information Retrieval (pp. 483–496). springer. https://doi.org/10.1007/978-3-030-72113-8_32 ( reposiTUm)

Bellomarini, L., Blasi, L., Laurendi, R., & Sallinger, E. (2021). Financial Data Exchange with Statistical Confidentiality: A Reasoning-based Approach. In Y. Velegrakis, D. Zeinalipour-Yazti, P. Chrysanthis, & F. Guerra (Eds.), Proceedings of the 24th International Conference on Extending Database Technology, EDBT 2021, Nicosia, Cyprus, March 23 - 26, 2021 (pp. 558–569). OpenProceedings.org. https://doi.org/10.5441/002/edbt.2021.66 ( reposiTUm)

Atzeni, P., Bellomarini, L., Iezzi, M., Sallinger, E., & Vlad, A. (2020). Weaving Enterprise Knowledge Graphs: The Case of Company Ownership Graphs. In Proceedings of the 23rd International Conference on Extending Database Technology, {EDBT} 2020, Copenhagen, Denmark, March 30 - April 02, 2020 (pp. 555–566). http://hdl.handle.net/20.500.12708/55580 ( reposiTUm)

Wu, L., Sallinger, E., Sherkhonov, E., Vahdati, S., & Gottlob, G. (2020). An Evolutionary Algorithm for Rule Learning over Knowledge Graphs. In Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence {(ECAI} 2020), Virtual Event, September, 2020 (pp. 52–59). http://hdl.handle.net/20.500.12708/58744 ( reposiTUm)

Atzeni, P., Bellomarini, L., Benedetto, D., & Sallinger, E. (2020). Traversing Knowledge Graphs with Good Old (and New) Joins. In Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence {(ECAI} 2020), Virtual Event, September, 2020}, (pp. 3–9). http://hdl.handle.net/20.500.12708/58742 ( reposiTUm)

Bellomarini, L., Benedetti, M., Ceri, S., Laurendi, R., Magnanimi, D., Nissl, M., & Sallinger, E. (2020). Reasoning on Company Takeovers during the COVID-19 Crisis with Knowledge Graphs. In roceedings 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. 145–156). http://hdl.handle.net/20.500.12708/55579 ( reposiTUm)

Bellomarini, L., Nissl, M., & Sallinger, E. (2020). Blockchains as Knowledge Graphs - Blockchains for Knowledge Graphs (Vision Paper). In Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence {(ECAI} 2020), Virtual Event, September, 2020 (pp. 43–51). http://hdl.handle.net/20.500.12708/58743 ( reposiTUm)

Atzeni, P., Bellomarini, L., Iezzi, M., Sallinger, E., & Vlad, A. (2020). Augmenting Logic-based Knowledge Graphs: The Case of Company Graphs. In Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence {(ECAI} 2020), Virtual Event, September, 2020 (pp. 22–27). http://hdl.handle.net/20.500.12708/55677 ( reposiTUm)

Sallinger, E. (2020). Knowledge Graphs: Meeting Point of Knowledge Representation and Representation Learning. In Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence {(ECAI} 2020), Virtual Event, September, 2020 (pp. 1–2). http://hdl.handle.net/20.500.12708/55678 ( reposiTUm)

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 ( reposiTUm)

Gottlob, G., Lanzinger, M. P., Longo, D. M., Okulmus, C., Pichler, R., & Selzer, A. (2013). Reaching Back to Move Forward: Using Old Ideas to Achieve a New Level of Query Optimization. In B. Kimelfeld, M. V. Martinez, & R. Angles (Eds.), Proceedings of the 15th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2023). CEUR-WS.org. https://doi.org/10.34726/5396 ( reposiTUm)

Baldazzi, T., Bellomarini, L., & Sallinger, E. (2025). Knowledge Graph-Based Reasoning in Large Language Models. In P. Hitzler, A. Dalal, M. S. Mahdavinejad, & S. Saki Norouzi (Eds.), Handbook on Neurosymbolic AI and Knowledge Graphs (Vol. 400, pp. 441–465). IOS Press. https://doi.org/10.3233/FAIA250219 ( reposiTUm)

Montoya, G., Sallinger, E., & Vargas-Solar, G. (Eds.). (2025). Proceedings of the 16th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2024) (Vol. 3954). ceur. ( reposiTUm)

Nissl, M., Sallinger, E., Schulte, S., & Borkowski, M. (2020). Towards Cross-Blockchain Smart Contracts. arXiv. https://doi.org/10.48550/arXiv.2010.07352 ( reposiTUm)