2026

• Paolo Atzeni, Teodoro Baldazzi, Luigi Bellomarini, Eleonora Laurenza, Emanuel Sallinger: Semantic-aware query answering with Large Language Models. Data Knowl. Eng. 161: 102494 (2026) [paper]

2025

• Luigi Bellomarini, Andrea Gentili, Davide Magnanimi, Emanuel Sallinger: Vadacode: A Logician-friendly IDE for Datalog+/-. Proc. VLDB Endow. 18(12): 5411-5414 (2025) [PDF]
• Luigi Bellomarini, Livia Blasi, Markus Nissl, Emanuel Sallinger: The Temporal Vadalog System: Temporal Datalog-Based Reasoning. Theory Pract. Log. Program. 25(2): 168-196 (2025) [PDF]
• Davide Benedetto, Marco Calautti, Hebatalla Hammad, Emanuel Sallinger, Adriano Vlad-Starrabba: A Datalog Rewriting Algorithm for Warded Ontologies. IJCAI 2025: 4356-4364 (2025) [PDF]
• Andrea Colombo, Teodoro Baldazzi, Luigi Bellomarini, Emanuel Sallinger, Stefano Ceri: Template-based Explainable Inference over High-Stakes Financial Knowledge Graphs. EDBT 2025: 503-515 (2025) [PDF]
• Luigi Bellomarini, Marta Bernardini, Livia Blasi, Costanza Catalano, Rosario Laurendi, Andrea Gentili, Davide Magnanimi, Marco Mastrogirolamo, Emanuel Sallinger: Datalog-based Reasoning for Banking Supervision: Is This All a Fantasy?. RuleML+RR (Companion) (2025) [PDF]
• Luigi Bellomarini, Livia Blasi, Markus Nissl, Emanuel Sallinger: The Temporal Vadalog System (Short Paper). TIME 2025: 15:1-15:8 (2025) [PDF]
• Luigi Bellomarini, Livia Blasi, Andrea Gentili, Rosario Laurendi, Eleonora Laurenza, Emanuel Sallinger: The Joint Knowledge Graph Labs: Neuro-Symbolic Reasoning in Action. RuleML+RR (Companion) (2025) [PDF]

2024

• Luigi Bellomarini, Davide Benedetto, Matteo Brandetti, Emanuel Sallinger, Adriano Vlad: The Vadalog Parallel System: Distributed Reasoning with Datalog+/-. Proc. VLDB Endow. 17(13): 4614-4626 (2024) [PDF]
• Teodoro Baldazzi, Luigi Bellomarini, Stefano Ceri, Andrea Colombo, Andrea Gentili, Emanuel Sallinger: "Please, Vadalog, tell me why": Interactive Explanation of Datalog-based Reasoning. EDBT 2024: 834-837 (2024) [PDF]
• Aleksandar Pavlovic, Emanuel Sallinger: SpeedE: Euclidean Geometric Knowledge Graph Embedding Strikes Back. NAACL-HLT (Findings) 2024: 69-92 (2024) [PDF]
• Teodoro Baldazzi, Luigi Bellomarini, Stefano Ceri, Andrea Colombo, Andrea Gentili, Emanuel Sallinger, Paolo Atzeni: Explaining Enterprise Knowledge Graphs with Large Language Models and Ontological Reasoning. Tannen's Festschrift 2024: 1:1-1:20 (2024) [PDF]
• Teodoro Baldazzi, Luigi Bellomarini, Marco Favorito, Emanuel Sallinger: Ontological Reasoning over Shy and Warded Datalog+/- for Streaming-Based Architectures. PADL 2024: 169-185 (2024) [paper]
• Teodoro Baldazzi, Davide Benedetto, Luigi Bellomarini, Emanuel Sallinger, Adriano Vlad: Softening Ontological Reasoning with Large Language Models. RuleML+RR (Companion) (2024) [PDF]
• Luigi Bellomarini, Marco Favorito, Eleonora Laurenza, Markus Nissl, Emanuel Sallinger: Towards FATEful Smart Contracts. DLT 2024 (2024) [PDF]
• Luigi Bellomarini, Marco Favorito, Eleonora Laurenza, Markus Nissl, Emanuel Sallinger: Towards FATEful Smart Contracts. AMW 2024 (2024) [PDF]
• Andrea Colombo, Teodoro Baldazzi, Luigi Bellomarini, Andrea Gentili, Emanuel Sallinger: LLM-based DatalogMTL Modelling of MiCAR-compliant Crypto-Assets Markets. Datalog 2024: 17-22 (2024) [PDF]
• Lara Chammas, Owen P. Dwyer, Emanuel Sallinger, Jim Davies, Eva Ja Morris: Care records and healthcare processes: adding context to clinical codes. HICSS 2024: 3697-3706 (2024) [PDF]
• Aleksandar Pavlovic, Emanuel Sallinger: Raising the Efficiency of Knowledge Graph Embeddings While Respecting Logical Rules. AMW 2024 (2024) [PDF]

2023

• Luigi Bellomarini, M. Benedetti, Andrea Gentili, Davide Magnanimi, Emanuel Sallinger: KG-Roar: Interactive Datalog-based Reasoning on Virtual Knowledge Graphs. Proc. VLDB Endow. 16(12): 4014-4017 (2023) [PDF]
• Luigi Bellomarini, Eleonora Laurenza, Emanuel Sallinger, Evgeny Sherkhonov: Swift Markov Logic for Probabilistic Reasoning on Knowledge Graphs. Theory Pract. Log. Program. 23(3): 507-534 (2023) [PDF]
• Teodoro Baldazzi, Luigi Bellomarini, Stefano Ceri, Andrea Colombo, Andrea Gentili, Emanuel Sallinger: Fine-tuning Large Enterprise Language Models via Ontological Reasoning. CoRR abs/2306.10723 (2023) [PDF]
• Teodoro Baldazzi, Luigi Bellomarini, Marco Favorito, Emanuel Sallinger: Ontological Reasoning over Shy and Warded Datalog+/- for Streaming-based Architectures (technical report). CoRR abs/2311.12236 (2023) [PDF]
• Luigi Bellomarini, Andrea Gentili, Eleonora Laurenza, Emanuel Sallinger: Model-Independent Design of Knowledge Graphs (short paper). AMW 2023 [PDF]
• Andrea Colombo, Luigi Bellomarini, Stefano Ceri, Eleonora Laurenza: Smart Derivative Contracts in DatalogMTL. EDBT 2023: 773-781 (2023) [paper]
• Teodoro Baldazzi, Luigi Bellomarini, Emanuel Sallinger: Reasoning over Financial Scenarios with the Vadalog System. EDBT 2023: 782-791 (2023) [PDF]
• Renzo Angles, Georg Gottlob, Aleksandar Pavlovic, Reinhard Pichler, Emanuel Sallinger: SparqLog: A System for Efficient Evaluation of SPARQL 1.1 Queries via Datalog. Proc. VLDB Endow. 16(13): 4240-4253 (2023) [PDF]
• Renzo Angles, Georg Gottlob, Aleksandar Pavlovic, Reinhard Pichler, Emanuel Sallinger: SparqLog: A System for Efficient Evaluation of SPARQL 1.1 Queries via Datalog [Experiment, Analysis and Benchmark]. CoRR abs/2307.06119 (2023) [PDF]
• Aleksandar Pavlovic, Emanuel Sallinger: Building Bridges: Knowledge Graph Embeddings Respecting Logical Rules (short paper). AMW 2023 [PDF]
• Rudolf Heinzl, Markus Nissl, Emanuel Sallinger: Towards Efficient Annotation Databases (short paper). AMW 2023 [PDF]
• Emanuel Sallinger: Knowledge Graphs in Action: from Theory to Systems and Real-world Applications (Abstract). AMW 2023 [PDF]
• Patrick Glaser, Syed Juned Ali, Emanuel Sallinger, Dominik Bork: Model-Based Construction of Enterprise Architecture Knowledge Graphs (extended abstract). EMISA 2023 [PDF]
• Aleksandar Pavlovic, Emanuel Sallinger: ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion. ICLR 2023 [PDF]
• Owen P. Dwyer, Lara Chammas, Emanuel Sallinger, Jim Davies: Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare. ICPM Workshops 2023: 235-246 (2023) [paper]
• Patrick Glaser, Emanuel Sallinger, Dominik Bork: EA ModelSet - A FAIR Dataset for Machine Learning in Enterprise Modeling. PoEM 2023: 19-36 (2023) [paper]
• Matthias Lanzinger, Markus Nissl, Emanuel Sallinger, Przemyslaw Andrzej Walega: Temporal Datalog with Existential Quantification. IJCAI 2023: 3277-3285 (2023) [PDF]
• Owen P. Dwyer, Teodoro Baldazzi, Jim Davies, Emanuel Sallinger, Adriano Vlad: Reasoning over Health Records with Vadalog: a Rule-based Approach to Patient Pathways. RuleML+RR (Companion) 2023 [PDF]

2022

• Luigi Bellomarini, Luca Bencivelli, Claudia Biancotti, Livia Blasi, Francesco Paolo Conteduca, Andrea Gentili, Rosario Laurendi, Davide Magnanimi, Michela Silvia Zangrandi, Flavia Tonelli, Stefano Ceri, Davide Benedetto, Markus Nissl, Emanuel Sallinger: Reasoning on company takeovers: From tactic to strategy. Data Knowl. Eng. 141: 102073 (2022) [paper]
• Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob, Andrey Kravchenko, Eleonora Laurenza, Yavor Nenov, Stephan Reissfelder, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Lianlong Wu: Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice. Future Gener. Comput. Syst. 129: 407-422 (2022) [PDF]
• Luigi Bellomarini, Davide Benedetto, Georg Gottlob, Emanuel Sallinger: Vadalog: A modern architecture for automated reasoning with large knowledge graphs. Inf. Syst. 105: 101528 (2022) [paper]
• Luigi Bellomarini, Davide Benedetto, Matteo Brandetti, Emanuel Sallinger: Exploiting the Power of Equality-generating Dependencies in Ontological Reasoning. Proc. VLDB Endow. 15(13): 3976-3988 (2022) [PDF]
• Teodoro Baldazzi, Luigi Bellomarini, Marco Favorito, Emanuel Sallinger: On the Relationship between Shy and Warded Datalog+/-. CoRR abs/2202.06285 (2022) [PDF]
• Luigi Bellomarini, Eleonora Laurenza, Emanuel Sallinger, Evgeny Sherkhonov: Swift Markov Logic for Probabilistic Reasoning on Knowledge Graphs. CoRR abs/2210.00283 (2022) [PDF]
• Teodoro Baldazzi, Davide Benedetto, Matteo Brandetti, Adriano Vlad, Luigi Bellomarini, Emanuel Sallinger: Datalog-based Reasoning with Heuristics over Knowledge Graphs. Datalog 2022: 114-126 (2022) [PDF]
• Teodoro Baldazzi, Davide Benedetto, Matteo Brandetti, Adriano Vlad, Luigi Bellomarini: Heuristic-based Reasoning on Financial Knowledge Graphs. EDBT/ICDT Workshops 2022 [PDF]
• Luigi Bellomarini, Andrea Gentili, Eleonora Laurenza, Emanuel Sallinger: Model-Independent Design of Knowledge Graphs - Lessons Learnt From Complex Financial Graphs. EDBT 2022: 2:524-2:526 (2022) [PDF]
• Adriano Vlad, Sahar Vahdati, Mojtaba Nayyeri, Luigi Bellomarini, Emanuel Sallinger: Towards Hybrid Logic-based and Embedding-based Reasoning on Financial Knowledge Graphs. EDBT/ICDT Workshops 2022 [PDF]
• Luigi Bellomarini, Markus Nissl, Emanuel Sallinger: iTemporal: An Extensible Generator of Temporal Benchmarks. ICDE 2022: 2021-2033 (2022) [paper]
• Paolo Atzeni, Teodoro Baldazzi, Luigi Bellomarini, Emanuel Sallinger: iWarded: A Versatile Generator to Benchmark Warded Datalog+/- Reasoning. RuleML+RR 2022: 113-129 (2022) [PDF]
• Teodoro Baldazzi, Luigi Bellomarini, Matthias Gerschberger, Abbas Jami, Davide Magnanimi, Markus Nissl, Aleksandar Pavlovic, Emanuel Sallinger: Vadalog: Overview, Extensions and Business Applications. RW 2022: 161-198 (2022) [paper]
• Teodoro Baldazzi, Luigi Bellomarini, Emanuel Sallinger, Paolo Atzeni: Reasoning in Warded Datalog+/- with Harmful Joins. SEBD 2022: 292-299 (2022) [PDF]
• Luigi Bellomarini, Davide Benedetto, Emanuel Sallinger: An Overview of Vadalog: a System for Reasoning over Large Knowledge Graphs. SEBD 2022: 300-308 (2022) [PDF]
• Gerald Berger, Georg Gottlob, Andreas Pieris, Emanuel Sallinger: The Space-Efficient Core of Vadalog. ACM Trans. Database Syst. 47(1): 1:1-1:46 (2022) [PDF]
• Lukas Berent, Markus Nissl, Emanuel Sallinger: Complexity of Arithmetic in Warded Datalog+-. CoRR abs/2202.05086 (2022) [PDF]
• Aleksandar Pavlovic, Emanuel Sallinger: ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion. CoRR abs/2206.04192 (2022) [PDF]
• Markus Nissl, Emanuel Sallinger: Towards Bridging Traditional and Smart Contracts with Datalog-based Languages. Datalog 2022: 68-82 (2022) [PDF]
• Ziheng Cheng, Lianlong Wu, Thomas Lukasiewicz, Emanuel Sallinger, Georg Gottlob: Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports. EDBT/ICDT Workshops 2022 [PDF]
• Markus Nissl, Emanuel Sallinger: Modelling Smart Contracts with DatalogMTL. EDBT/ICDT Workshops 2022 [PDF]
• Patrick Glaser, Syed Juned Ali, Emanuel Sallinger, Dominik Bork: Model-Based Construction of Enterprise Architecture Knowledge Graphs. EDOC 2022: 57-73 (2022) [PDF]
• Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob: Rule Learning over Knowledge Graphs with Genetic Logic Programming. ICDE 2022: 3373-3385 (2022) [PDF]
• Teodoro Baldazzi, Paolo Atzeni: Warded Datalog+/- Reasoning in Financial Settings with Harmful Joins. EDBT/ICDT Workshops 2022 [PDF]
• Livia Blasi: A Temporal Datalog Primer. EDBT/ICDT Workshops 2022 [PDF]

2021

• Teodoro Baldazzi, Luigi Bellomarini, Emanuel Sallinger, Paolo Atzeni: iWarded: A System for Benchmarking Datalog+/- Reasoning (technical report). CoRR abs/2103.08588 (2021) [PDF]
• Luigi Bellomarini, Emanuel Sallinger: Harmless but Useful: Beyond Separable Equality Constraints in Datalog+/-. CoRR abs/2105.11147 (2021) [PDF]
• Luigi Bellomarini, Markus Nissl, Emanuel Sallinger: Query Evaluation in DatalogMTL - Taming Infinite Query Results. CoRR abs/2109.10691 (2021) [PDF]
• Luigi Bellomarini, Livia Blasi, Rosario Laurendi, Emanuel Sallinger: Financial Data Exchange with Statistical Confidentiality: A Reasoning-based Approach. EDBT 2021: 558-569 (2021) [PDF]
• Andrea Gulino, Stefano Ceri, Georg Gottlob, Emanuel Sallinger, Luigi Bellomarini: Distributed Company Control in Company Shareholding Graphs. ICDE 2021: 2637-2648 (2021) [paper]
• Teodoro Baldazzi, Luigi Bellomarini, Emanuel Sallinger, Paolo Atzeni: Eliminating Harmful Joins in Warded Datalog+/-. RuleML+RR 2021: 267-275 (2021) [paper]
• Luigi Bellomarini, G. Galano, Markus Nissl, Emanuel Sallinger: Rule-based Blockchain Knowledge Graphs: Declarative AI for Solving Industrial Blockchain Challenges. RuleML+RR (Supplement) 2021 [PDF]
• Luigi Bellomarini, Markus Nissl, Emanuel Sallinger: Monotonic Aggregation for Temporal Datalog. RuleML+RR (Supplement) 2021 [PDF]
• M. Fazeli-Varzaneh, A. Ghorbi, M. Ausloos, Emanuel Sallinger, Sahar Vahdati: Sleeping Beauties of Coronavirus Research. IEEE Access 9: 21192-21205 (2021) [paper]
• Markus Nissl, Emanuel Sallinger, Stefan Schulte, Michael Borkowski: Towards Cross-Blockchain Smart Contracts. DAPPS 2021: 85-94 (2021) [PDF]
• Mojtaba Nayyeri, Sahar Vahdati, Emanuel Sallinger, Mehdi M. Alam, Hamid Sadeghian Yazdi, Jens Lehmann: Pattern-Aware and Noise-Resilient Embedding Models. ECIR (1) 2021: 483-496 (2021) [PDF]
• Damien Graux, Valentina Janev, Hajira Jabeen, Emanuel Sallinger: Deploying a Strategy to Unlock Big Data Research and Teaching Activities in the West Balkan Region. ITiCSE (1) 2021: 491-497 (2021) [paper]
• Damien Graux, Valentina Janev, Hajira Jabeen, Emanuel Sallinger: A Big Data Learning Platform for the West Balkans and Beyond. ITiCSE (2) 2021: 617-618 (2021) [paper]
• Stefan Bachhofner, Elmar Kiesling, Kabul Kurniawan, Emanuel Sallinger, Philipp Waibel: Knowledge Graph Modularization for Cyber-Physical Production Systems. ISWC (Posters/Demos/Industry) 2021 [PDF]

2020

• Luigi Bellomarini, M. Benedetti, Andrea Gentili, Rosario Laurendi, Davide Magnanimi, A. Muci, Emanuel Sallinger: COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning. CoRR abs/2004.10119 (2020) [PDF]
• Paolo Atzeni, Luigi Bellomarini, Davide Benedetto, Emanuel Sallinger: Traversing Knowledge Graphs with Good Old (and New) Joins. KR4L@ECAI 2020: 3-9 (2020) [PDF]
• Paolo Atzeni, Luigi Bellomarini, M. Iezzi, Emanuel Sallinger, Adriano Vlad: Augmenting Logic-based Knowledge Graphs: The Case of Company Graphs. KR4L@ECAI 2020: 22-27 (2020) [PDF]
• Luigi Bellomarini, Markus Nissl, Emanuel Sallinger: Blockchains as Knowledge Graphs - Blockchains for Knowledge Graphs (Vision Paper). KR4L@ECAI 2020: 43-51 (2020) [PDF]
• Paolo Atzeni, Luigi Bellomarini, M. Iezzi, Emanuel Sallinger, Adriano Vlad: Weaving Enterprise Knowledge Graphs: The Case of Company Ownership Graphs. EDBT 2020: 555-566 (2020) [PDF]
• Luigi Bellomarini, Davide Magnanimi, Markus Nissl, Emanuel Sallinger: Neither in the Programs Nor in the Data: Mining the Hidden Financial Knowledge with Knowledge Graphs and Reasoning. MIDAS@PKDD/ECML 2020: 119-134 (2020) [paper]
• Luigi Bellomarini, Eleonora Laurenza, Emanuel Sallinger, Evgeny Sherkhonov: Reasoning Under Uncertainty in Knowledge Graphs. RuleML+RR 2020: 131-139 (2020) [paper]
• Luigi Bellomarini, Eleonora Laurenza, Emanuel Sallinger: Rule-based Anti-Money Laundering in Financial Intelligence Units: Experience and Vision. RuleML+RR (Supplement) 2020: 133-144 (2020) [PDF]
• Luigi Bellomarini, M. Benedetti, Stefano Ceri, Andrea Gentili, Rosario Laurendi, Davide Magnanimi, Markus Nissl, Emanuel Sallinger: Reasoning on Company Takeovers during the COVID-19 Crisis with Knowledge Graphs. RuleML+RR (Supplement) 2020: 145-156 (2020) [PDF]
• Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati: Knowledge Graphs: The Layered Perspective. Knowledge Graphs and Big Data Processing 2020: 9-22 [paper]
• Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati: Reasoning in Knowledge Graphs: An Embeddings Spotlight. Knowledge Graphs and Big Data Processing 2020: 87-101 [paper]
• Phokion G. Kolaitis, Reinhard Pichler, Emanuel Sallinger, Vadim Savenkov: On the Language of Nested Tuple Generating Dependencies. ACM Trans. Database Syst. 45(2): 8:1-8:59 (2020) [PDF]
• Emanuel Sallinger: Knowledge Graphs: Meeting Point of Knowledge Representation and Representation Learning. KR4L@ECAI 2020: 1-2 (2020) [PDF]
• Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob: An Evolutionary Algorithm for Rule Learning over Knowledge Graphs. KR4L@ECAI 2020: 52-59 (2020) [PDF]
• Mojtaba Nayyeri, Chengjin Xu, Sahar Vahdati, Nadezhda Vassilyeva, Emanuel Sallinger, Hamid Sadeghian Yazdi, Jens Lehmann: Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. ISWC (1) 2020: 438-455 (2020) [paper]
• Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger: Knowledge Graphs and Big Data Processing. Springer 2020 [paper]

About the Knowledge Graph Lab at TU Wien

The Knowledge Graph Lab at TU Wien is part of the Database and Artificial Intelligence (DBAI) group at the Institute of Logic and Computation of the Faculty of Informatics. It is funded by the Vienna Science and Technology Fund (WWTF) under the Vienna Research Group scheme - "Vienna Research Group on Scalable Reasoning in Knowledge Graphs" (VRG18-013).