Davide Mario Longo
Univ.Ass. Dr.techn. / MSc
Role
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PostDoc Researcher
Databases and Artificial Intelligence, E192-02
Publications
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Grounding Planning Tasks Using Tree Decompositions and Iterated Solving
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Corrêa, A., Hecher, M., Helmert, M., Longo, D. M., Pommerening, F., & Woltran, S. (2023). Grounding Planning Tasks Using Tree Decompositions and Iterated Solving. In Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling (pp. 100–108). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/icaps.v33i1.27184
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Projects: DK - Logic (2014–2023) / HYPAR (2019–2024) / HyperTrac (2018–2022) / REVEAL-AI (2020–2024) -
On the potential of structural decomposition of database and AI problems
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Longo, D. M. (2023). On the potential of structural decomposition of database and AI problems [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.116747
Download: PDF (2.08 MB) -
HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings
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Fischl, W., Gottlob, G., Longo, D. M., & Pichler, R. (2021). HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings. ACM Journal on Experimental Algorithmics, 26, 1–40. https://doi.org/10.1145/3440015
Project: HyperTrac (2018–2022) -
The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions
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Gottlob, G., Lanzinger, M., Longo, D. M., Okulmus, C., & Pichler, R. (2020). The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research (pp. 3–21). Springer. https://doi.org/10.1007/978-3-030-58942-4_1
Project: HyperTrac (2018–2022) -
HyperBench: {A} Benchmark and Tool for Hypergraphs and Empirical Findings
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Fischl, W., Gottlob, G., Longo, D. M., & Pichler, R. (2019). HyperBench: {A} Benchmark and Tool for Hypergraphs and Empirical Findings. In Proceedings of the 13th Alberto Mendelzon International Workshop on Foundations of Data Management, Asunci{’{o}}n, Paraguay, June 3-7, 2019.}, (pp. 1–5). CEUR-WS.org. http://hdl.handle.net/20.500.12708/55517
Project: HyperTrac (2018–2022) -
HyperBench
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Fischl, W., Longo, D. M., Gottlob, G., & Pichler, R. (2019). HyperBench. 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). ACM. https://doi.org/10.1145/3294052.3319683
Project: HyperTrac (2018–2022) -
Reaching Back to Move Forward: Using Old Ideas to Achieve a New Level of Query Optimization
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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
Download: PDF (932 KB)
Projects: DeConquer (2023–2027) / KnowledgeGraph (2020–2028) / SustainGraph (2023–2025)