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Emanuel Sallinger

Univ.Prof. Dipl.-Ing. Mag.rer.soc.oec. Dr.rer.soc.oec. Dr.techn.

Research Focus

  • Information Systems Engineering: 20%
  • Logic and Computation: 80%

Research Areas

  • Computational Logic, Scalable Artificial Intelligence, Data Extraction and Integration, Reasoning, Knowledge Graph Management Systems, Reasoning in Knowledge Graphs, Knowledge-Based Systems, Scalable Reasoning, Database Theory, Databases, Scalable Systems, Knowledge Management, Database Systems, Knowledge Graphs, Artificial Intelligence, Complexity Theory
Emanuel Sallinger

About

My current main research focus is on Knowledge Graphs, including all theoretical and practical aspects. In particular, I am interested in reasoning in such systems, including all of the AI methodologies for that (knowledge-based/logic-based reasoning and machine learning-based reasoning). Within such systems, my interest in achieving scalable solutions, making sure that theory translates into practice.

More on this topic can be found at the website of the Knowledge Graph Lab (kg.dbai.tuwien.ac.at) at TU Wien, which I lead.

More broadly, my research interests are on scalable knowledge-based information systems and artificial intelligence technologies, in particular on aspects touching both theory and practice. On the theoretical side, this includes the theory of scalable systems, logic, reasoning and complexity. On the practical side this includes database management systems, scalable database and information systems, and knowledge management platforms.

For emails in my role of Vice Dean of Academic Affairs for Business Informatics and Data Science, please write primarily to <studiendekanat.informatik@tuwien.ac.at> mentioning that your request is for me, I can get back to you more quickly in that way.

Roles

Contact

2024W

2025S

 

2024

  • INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum / Dautov, R., Song, H., Roman, D., Husom, E. J., Sen, S., Balionyte-Merle, V., Firmani, D., Leotta, F., Mathew, J. G., Rossi, J., Balzotti, L., Morichetta, A., Dustdar, S., Metsch, T., Frascolla, V., Khalid, A., Landi, G., Brenes, J., Toma, I., & Paulson, E. (2024). INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum. In A. Rula, E. Sallinger, O. Savkovic, I. Ciuciu, I. Toma, J. Xavier Parreira, R. Prodan, H. Song, & A. Soylu (Eds.), Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning (RuleML+RR-Companion 2024). https://doi.org/10.34726/8579
    Download: PDF (319 KB)
    Project: INTEND (2024–2026)
  • “Please, Vadalog, tell me why”: Interactive Explanation of Datalog-based Reasoning / 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
    Download: PDF (2.52 MB)
    Project: KnowledgeGraph (2020–2028)
  • Softening Ontological Reasoning with Large Language Models / 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
    Download: PDF (2.16 MB)
    Project: KnowledgeGraph (2020–2028)
  • LLM-based DatalogMTL Modelling of MiCAR-compliant Crypto-Assets Markets / 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
    Download: PDF (2.48 MB)
    Project: KnowledgeGraph (2020–2028)
  • 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)
  • SpeedE: Euclidean Geometric Knowledge Graph Embedding Strikes Back / 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
    Download: PDF (1 MB)
    Project: KnowledgeGraph (2020–2028)

2023

  • EA ModelSet – A FAIR Dataset for Machine Learning in Enterprise Modeling / Glaser, P.-L., Sallinger, E., & Bork, D. (2023). EA ModelSet – A FAIR Dataset for Machine Learning in Enterprise Modeling. In J. P. A. Almeida, M. Kaczmarek-Heß, A. Koschmider, & H. Proper (Eds.), The Practice of Enterprise Modeling : 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 – December 1, 2023, Proceedings (pp. 19–36). Springer. https://doi.org/10.1007/978-3-031-48583-1_2
    Project: DEMO (2022–2024)
  • SparqLog: A System for Efficient Evaluation of SPARQL 1.1 Queries via Datalog / 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
    Download: PDF (837 KB)
    Projects: KnowledgeGraph (2020–2028) / SustainGraph (2023–2025)
  • 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)
  • Towards Efficient Annotation Databases / 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
    Download: PDF (2.12 MB)
    Projects: DeConquer (2023–2027) / KnowledgeGraph (2020–2028) / SustainGraph (2023–2025)
  • Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit / Glaser, P.-L., Ali, S. J., Sallinger, E., & Bork, D. (2023). Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit. In Conference Proceedings: Enterprise Design, Operations, and Computing. EDOC 2022 Workshops (pp. 332–338). Springer. https://doi.org/10.1007/978-3-031-26886-1_21
    Project: MFP 4.2 (2022–2023)
  • Temporal Datalog with Existential Quantification / Lanzinger, M., Nissl, M., Sallinger, E., & Wałęga, P. (2023). Temporal Datalog with Existential Quantification. In E. Elkind (Ed.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023) (pp. 3277–3285). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2023/365
  • 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
  • Reasoning over Financial Scenarios with the Vadalog System / 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
    Download: PDF (1.46 MB)
    Project: KnowledgeGraph (2020–2028)
  • ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion / 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
    Download: PDF (1.2 MB)
    Project: KnowledgeGraph (2020–2028)
  • Knowledge Graphs in Action: from Theory to Systems and Real-world Applications (Abstract) / 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
    Project: KnowledgeGraph (2020–2028)
  • Building Bridges: Knowledge Graph Embeddings Respecting Logical Rules (short paper) / 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).
    Download: Paper (1.16 MB)
    Project: KnowledgeGraph (2020–2028)
  • Model-Based Construction of Enterprise Architecture Knowledge Graphs (extended abstract) / Glaser, P.-L., Ali, S. J., Sallinger, E., & Bork, D. (2023). Model-Based Construction of Enterprise Architecture Knowledge Graphs (extended abstract). In S. Hacks & J. Jung (Eds.), Proceedings of the 13th International Workshop on Enterprise Modelingand Information Systems Architectures {(EMISA} 2023). CEUR. http://hdl.handle.net/20.500.12708/191774
    Project: MFP 4.2 (2022–2023)

2022

2021

  • Financial Data Exchange with Statistical Confidentiality: A Reasoning-based Approach / 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
    Project: KnowledgeGraph (2020–2028)
  • Rule-based Blockchain Knowledge Graphs: Declarative {AI} for Solving Industrial Blockchain Challenges / 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
    Project: KnowledgeGraph (2020–2028)
  • Knowledge Graph Modularization for Cyber-Physical Production Systems / 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
    Project: KnowledgeGraph (2020–2028)
  • Towards Cross-Blockchain Smart Contracts / 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
    Project: KnowledgeGraph (2020–2028)
  • Monotonic Aggregation for Temporal Datalog / 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
    Project: KnowledgeGraph (2020–2028)
  • Pattern-Aware and Noise-Resilient Embedding Models / 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
    Project: KnowledgeGraph (2020–2028)
  • Eliminating Harmful Joins in Warded Datalog+/− / 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
    Project: KnowledgeGraph (2020–2028)
  • A Big Data Learning Platform for the West Balkans and Beyond / 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
    Project: KnowledgeGraph (2020–2028)
  • Deploying a Strategy to Unlock Big Data Research and Teaching Activities in the West Balkan Region / 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
    Project: KnowledgeGraph (2020–2028)
  • Distributed Company Control in Company Shareholding Graphs / 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
    Project: KnowledgeGraph (2020–2028)
  • Sleeping Beauties of Coronavirus Research / 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
    Project: KnowledgeGraph (2020–2028)

2020

  • 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)
  • 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
  • On the Language of Nested Tuple Generating Dependencies / 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
    Projects: HINT (2012–2017) / KnowledgeGraph (2020–2028) / START (2014–2022)
  • Knowledge Graphs: Meeting Point of Knowledge Representation and Representation Learning / 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
    Project: KnowledgeGraph (2020–2028)
  • Chapter 6 Reasoning in Knowledge Graphs: An Embeddings Spotlight / Bellomarini, L., Sallinger, E., & Vahdati, S. (2020). Chapter 6 Reasoning in Knowledge Graphs: An Embeddings Spotlight. In Knowledge Graphs and Big Data Processing (pp. 87–101). Springer. https://doi.org/10.1007/978-3-030-53199-7_6
  • Augmenting Logic-based Knowledge Graphs: The Case of Company Graphs / 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
    Project: KnowledgeGraph (2020–2028)
  • Weaving Enterprise Knowledge Graphs: The Case of Company Ownership Graphs / 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
    Project: KnowledgeGraph (2020–2028)
  • Reasoning on Company Takeovers during the COVID-19 Crisis with Knowledge Graphs / 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
    Project: KnowledgeGraph (2020–2028)
  • An Evolutionary Algorithm for Rule Learning over Knowledge Graphs / 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
    Project: KnowledgeGraph (2020–2028)
  • Towards Cross-Blockchain Smart Contracts / Nissl, M., Sallinger, E., Schulte, S., & Borkowski, M. (2020). Towards Cross-Blockchain Smart Contracts. arXiv. https://doi.org/10.48550/arXiv.2010.07352
    Project: KnowledgeGraph (2020–2028)
  • Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them / Nayyeri, M., Xu, C., Vahdati, S., Vassilyeva, N., Sallinger, E., Yazdi, H. S., & Lehmann, J. (2020). Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. In The Semantic Web – ISWC 2020 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, Proceedings, Part I (pp. 438–455). https://doi.org/10.1007/978-3-030-62419-4_25
  • Blockchains as Knowledge Graphs - Blockchains for Knowledge Graphs (Vision Paper) / 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
    Project: KnowledgeGraph (2020–2028)
  • Traversing Knowledge Graphs with Good Old (and New) Joins / 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
    Project: KnowledgeGraph (2020–2028)
  • Chapter 2 Knowledge Graphs: The Layered Perspective / Bellomarini, L., Sallinger, E., & Vahdati, S. (2020). Chapter 2 Knowledge Graphs: The Layered Perspective. In Knowledge Graphs and Big Data Processing (pp. 20–34). Springer. https://doi.org/10.1007/978-3-030-53199-7_2

2019

  • VADA: an architecture for end user informed data preparation / Konstantinou, N., Abel, E., Bellomarini, L., Bogatu, A. T., Civili, C., Irfanie, E., Köhler, M., Lacramioara, M., Sallinger, E., Fernandes, A. A. A., Gottlob, G., Keane, J. A., & Paton, N. W. (2019). VADA: an architecture for end user informed data preparation. Journal Of Big Data, 6(74). https://doi.org/10.1186/s40537-019-0237-9
  • Vadalog: Recent Advances and Applications / Gottlob, G., Sallinger, E., & Pieris, A. (2019). Vadalog: Recent Advances and Applications. In Logics in Artificial Intelligence 16th European Conference, JELIA 2019, Rende, Italy, May 7–11, 2019, Proceedings. JELIA 2019 - 16th Edition of the European Conference on Logics in Artificial Intelligence, Rende, Kalbrien, Italy. Springer. https://doi.org/10.1007/978-3-030-19570-0_2
  • The Space-Efficient Core of Vadalog / Berger, G., Gottlob, G., Pieris, A., & Sallinger, E. (2019). The Space-Efficient Core of Vadalog. In Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems  - PODS ’19. SIGMOD/PODS 2019 - 38th Symposium on Principles of Database Systems 2019, Amsterdam, Netherlands (the). https://doi.org/10.1145/3294052.3319688

2018

2017

  • Stable Model Semantics for Tuple-Generating Dependencies Revisited / Pieris, A., Morak, M., & Alviano, M. (2017). Stable Model Semantics for Tuple-Generating Dependencies Revisited. In E. Sallinger & J. Van den Bussche (Eds.), Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. ACM. https://doi.org/10.1145/3034786.3034794
    Project: START (2014–2022)
  • Winner Determination in Huge Elections with MapReduce. AAAI 2017: 451-458 / Csar, T., Lackner, M., Pichler, R., & Sallinger, E. (2017). Winner Determination in Huge Elections with MapReduce. AAAI 2017: 451-458. In AAAI 2017 (pp. 451–458). http://hdl.handle.net/20.500.12708/57076
    Projects: FAIR (2013–2018) / HINT (2012–2017) / START (2014–2022)
  • Function Symbols in Tuple-Generating Dependencies: Expressive Power and Computability / Gottlob, G., Pichler, R., & Sallinger, E. (2017). Function Symbols in Tuple-Generating Dependencies: Expressive Power and Computability. In E. Sallinger (Ed.), 11th Alberto Mendelzon International Workshop on Foundations of Data Management and the Web, AMW 2017 (pp. 1–5). CEUR Workshop Proceedings / CEUR-WS.org. http://hdl.handle.net/20.500.12708/57055
    Projects: FAIR (2013–2018) / HINT (2012–2017)
  • Swift Logic for Big Data and Knowledge Graphs / Bellomarini, L., Gottlob, G., Pieris, A., & Sallinger, E. (2017). Swift Logic for Big Data and Knowledge Graphs. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia. https://doi.org/10.24963/ijcai.2017/1
    Projects: FAIR (2013–2018) / HINT (2012–2017)
  • Computational Social Choice in the Clouds / Csar, T., Lackner, M., Pichler, R., & Sallinger, E. (2017). Computational Social Choice in the Clouds. In Workshop Präferenzen und Personalisierung in der Informatik bei der Konferenz “Datenbanksysteme für Business, Technologie und Web” (BTW) (pp. 163–167). http://hdl.handle.net/20.500.12708/57077
    Projects: FAIR (2013–2018) / HINT (2012–2017) / START (2014–2022)

2016

  • Winner Determination in Huge Elections with MapReduce / Csar, T., Lackner, M., Pichler, R., & Sallinger, E. (2016). Winner Determination in Huge Elections with MapReduce. In M. Endres, N. Mattei, & A. Pfandler (Eds.), 10th Multidisciplinary Workshop on Advances in Preference Handling (p. 7). http://hdl.handle.net/20.500.12708/56661
    Projects: FAIR (2013–2018) / HINT (2012–2017) / SEE (2012–2016) / START (2014–2022)
  • Limits of Schema Mappings / Kolaitis, P. G., Pichler, R., Sallinger, E., & Savenkov, V. (2016). Limits of Schema Mappings. In W. Martens & T. Zeume (Eds.), 19th International Conference on Database Theory, ICDT 2016, Bordeaux, France, March 15-18, 2016 (pp. 19:1-19:17). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPIcs.ICDT.2016.19
    Projects: HINT (2012–2017) / SEE (2012–2016)
  • Complexity of Repair Checking and Consistent Query Answering / Arming, S., Pichler, R., & Sallinger, E. (2016). Complexity of Repair Checking and Consistent Query Answering. In W. Martens & T. Zeume (Eds.), 19th International Conference on Database Theory, ICDT 2016, Bordeaux, France, March 15-18, 2016 (pp. 21:1-21:18). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPIcs.ICDT.2016.21
    Projects: HINT (2012–2017) / SEE (2012–2016)

2015

  • Using Statistics for Computing Joins with MapReduce / Csar, T., Pichler, R., Sallinger, E., & Savenkov, V. (2015). Using Statistics for Computing Joins with MapReduce. In A. Cali & M.-E. Vidal (Eds.), Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru, May 6 - 8, 2015 (p. 6). CEUR Workshop Proceedings. http://hdl.handle.net/20.500.12708/56102
    Projects: HINT (2012–2017) / START (2014–2022)
  • Distance-Bounded Consistent Query Answering / Pfandler, A., & Sallinger, E. (2015). Distance-Bounded Consistent Query Answering. In Q. Yang & M. Wooldridge (Eds.), Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015 (pp. 2262–2269). AAAI Press. http://hdl.handle.net/20.500.12708/56100
    Projects: FAIR (2013–2018) / HINT (2012–2017) / SEE (2012–2016) / START (2014–2022)
  • On the undecidability of the equivalence of second-order tuple generating dependencies / Feinerer, I., Pichler, R., Sallinger, E., & Savenkov, V. (2015). On the undecidability of the equivalence of second-order tuple generating dependencies. Information Systems, 48, 113–129. https://doi.org/10.1016/j.is.2014.09.003
    Projects: HINT (2012–2017) / SEE (2012–2016)
  • Teaching and learning foundations of computer science : on the unusual effectiveness of logic in computer science / Sallinger, E. (2015). Teaching and learning foundations of computer science : on the unusual effectiveness of logic in computer science [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/78357
  • Function Symbols in Tuple-Generating Dependencies / Gottlob, G., Pichler, R., & Sallinger, E. (2015). Function Symbols in Tuple-Generating Dependencies. In T. Milo & D. Calvanese (Eds.), Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI  Symposium on Principles of Database Systems. ACM. https://doi.org/10.1145/2745754.2745756
    Projects: HINT (2012–2017) / SEE (2012–2016) / START (2014–2022)

2014

  • Foundations of information integration : analyzing, managing and reasoning about schema mappings / Sallinger, E. (2014). Foundations of information integration : analyzing, managing and reasoning about schema mappings [Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/79436
  • Capturing Relational Schemas and Functional Dependencies in RDFS / Fischl, W., Calvanese, D., Pichler, R., Simkus, M., & Sallinger, E. (2014). Capturing Relational Schemas and Functional Dependencies in RDFS. Reasoning Web, International Summer School 2014, Athens, Greece. http://hdl.handle.net/20.500.12708/85949
    Projects: HINT (2012–2017) / SEE (2012–2016)
  • Nested dependencies: structure and reasoning / Kolaitis, P. G., Pichler, R., Sallinger, E., & Savenkov, V. (2014). Nested dependencies: structure and reasoning. In R. Hull & M. Grohe (Eds.), Proceedings of the 33rd ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS’14, Snowbird, UT, USA, June 22-27, 2014 (pp. 176–187). ACM. http://hdl.handle.net/20.500.12708/58804
  • Expressive Identification Constraints to Capture Functional Dependencies in Description Logics / Calvanese, D., Fischl, W., Pichler, R., Sallinger, E., & Simkus, M. (2014). Expressive Identification Constraints to Capture Functional Dependencies in Description Logics. In Informal Proceedings of the 27th International Workshop on Description Logics (DL 2014) (p. 5). CEUR-WS. http://hdl.handle.net/20.500.12708/55903
    Projects: HINT (2012–2017) / SEE (2012–2016)
  • Capturing Relational Schemas and Functional Dependencies in RDFS / Calvanese, D., Fischl, W., Pichler, R., Sallinger, E., & Simkus, M. (2014). Capturing Relational Schemas and Functional Dependencies in RDFS. In Proceedings of the Twenty-Eighth AAAI Conference on Aritifical Intelligence (pp. 1003–1011). http://hdl.handle.net/20.500.12708/55901
    Projects: HINT (2012–2017) / SEE (2012–2016)
  • Combined Complexity of Repair Checking and Consistent Query Answering / Arming, S., Pichler, R., & Sallinger, E. (2014). Combined Complexity of Repair Checking and Consistent Query Answering. In G. Gottlob & J. Perez (Eds.), Proceedings of the 8th Alberto Mendelzon Workshop on Foundations of Data Management, Cartagena de Indias, Colombia, June 4-6, 2014 (p. 6). CEUR. http://hdl.handle.net/20.500.12708/55791
    Project: HINT (2012–2017)

2013

  • Enhancing the Updatability of Projective Views / Guagliardo, P., Pichler, R., & Sallinger, E. (2013). Enhancing the Updatability of Projective Views. In Proceedings of the 7th Alberto Mendelzon International Workshop on Foundations of Data Management (p. 7). CEUR Workshop Proceedings. http://hdl.handle.net/20.500.12708/54848
    Project: HINT (2012–2017)
  • Relaxed Notions of Schema Mapping Equivalence Revisited / Pichler, R., Sallinger, E., & Savenkov, V. (2013). Relaxed Notions of Schema Mapping Equivalence Revisited. Theory of Computing Systems, 52(3), 483–541. https://doi.org/10.1007/s00224-012-9397-0
    Project: SODI (2009–2013)
  • Reasoning about Schema Mappings / Sallinger, E. (2013). Reasoning about Schema Mappings. In P. G. Kolaitis, M. Lenzerini, & N. Schweikardt (Eds.), Data Exchange, Integration, and Streams (pp. 97–127). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany. https://doi.org/10.4230/DFU.Vol5.10452.97
    Project: HINT (2012–2017)

2012

  • Union and Intersection of Schema Mappings / Perez, J., Pichler, R., Sallinger, E., & Savenkov, V. (2012). Union and Intersection of Schema Mappings. In J. Freire & D. Suciu (Eds.), Proceedings of the 6th Alberto Mendelzon International Workshop on Foundations of Data Management (p. 13). CEUR-WS.org. http://hdl.handle.net/20.500.12708/54149
    Project: SODI (2009–2013)

2011

  • On the Undecidability of the Equivalence of Second-Order Tuple Generating Dependencies / Feinerer, I., Pichler, R., Sallinger, E., & Savenkov, V. (2011). On the Undecidability of the Equivalence of Second-Order Tuple Generating Dependencies. In P. Barceló & V. Tannen (Eds.), Alberto Mendelzon International Workshop on Foundations of Data Management 2011 (p. 13). http://hdl.handle.net/20.500.12708/53693
  • Relaxed Notions of Schema Mapping Equivalence Revisited / Pichler, R., Sallinger, E., & Savenkov, V. (2011). Relaxed Notions of Schema Mapping Equivalence Revisited. In T. Milo (Ed.), Proceedings of the 14th International Conference Database Theory (p. 12). ACM. http://hdl.handle.net/20.500.12708/53674
    Project: SODI (2009–2013)

2010