Markus Nissl
Projektass. Dipl.-Ing. / BSc
Role
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PreDoc Researcher
Databases and Artificial Intelligence, E192-02
Courses
2023W
- Research and Career Planning for Doctoral Students / 184.778 / VU
- Research and Career Planning for Doctoral Students / 195.098 / VU
2024S
- Knowledge Graphs / 192.116 / VU
Publications
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Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations
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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
Download: Paper (844 KB)
Project: KnowledgeGraph (2020–2028) -
Towards Efficient Annotation Databases
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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 (2023–2024) -
Temporal reasoning in knowledge graphs : Artificial intelligence systems for reasoning with time in Vadalog
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Nissl, M. (2023). Temporal reasoning in knowledge graphs : Artificial intelligence systems for reasoning with time in Vadalog [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.116143
Download: PDF (3.5 MB) - 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
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Knowledge Graphs: Detection of Outdated News
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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 Knowledge Graphs: Detection of Outdated News.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
Project: KnowledgeGraph (2020–2028) -
Towards Cross-Blockchain Smart Contracts
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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
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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) -
Rule-based Blockchain Knowledge Graphs: Declarative {AI} for Solving Industrial Blockchain Challenges
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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) -
Blockchains as Knowledge Graphs - Blockchains for Knowledge Graphs (Vision Paper)
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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) -
Towards Cross-Blockchain Smart Contracts
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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) -
Reasoning on Company Takeovers during the COVID-19 Crisis with Knowledge Graphs
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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) -
Cross-blockchain smart contracts : invoking smart contracts across blockchains
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Nissl, M. (2019). Cross-blockchain smart contracts : invoking smart contracts across blockchains [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.64606
Download: PDF (1.19 MB)
Supervisions
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A Blockchain-driven approach for secure and scalable provenance management in open data systems
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Staynov, S. (2023). A Blockchain-driven approach for secure and scalable provenance management in open data systems [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.112005
Download: PDF (1.8 MB) -
Reasoning in financial knowledge graphs : Making Industry sectors accessible to AI
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Schüller, M. (2022). Reasoning in financial knowledge graphs : Making Industry sectors accessible to AI [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.98942
Download: PDF (1.77 MB) -
VT-KGNN: A Valid time knowledge graph neural network
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Auer, A. (2022). VT-KGNN: A Valid time knowledge graph neural network [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.101061
Download: PDF (3.23 MB) -
Recursive rule injection in knowledge graphs : Exploiting logical knowledge in machine learning
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Wagner, F. K. M. (2021). Recursive rule injection in knowledge graphs : Exploiting logical knowledge in machine learning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.85260
Download: PDF (1.42 MB) -
Foundations of knowledge graphs: Complexity of arithmetic in vadalog
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Berent, L. (2021). Foundations of knowledge graphs: Complexity of arithmetic in vadalog [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.93121
Download: PDF (908 KB)