TU Wien Informatics

20 Years

Role

  • Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations / 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 / 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 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
  • Temporal reasoning in knowledge graphs : Artificial intelligence systems for reasoning with time in Vadalog / 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)
  • 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)
  • 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)
  • 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, International. https://doi.org/10.1109/dapps52256.2021.00015
    Project: KnowledgeGraph (2020–2028)
  • Knowledge Graphs: Detection of Outdated News / 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)
  • 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)
  • 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)
  • 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)
  • Cross-blockchain smart contracts : invoking smart contracts across blockchains / 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)