Aleksandar Pavlovic
Projektass. Dipl.-Ing. / BSc
Role
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PreDoc Researcher
Databases and Artificial Intelligence, E192-02
Publications
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SparqLog: A System for Efficient Evaluation of SPARQL 1.1 Queries via Datalog
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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) -
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
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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) -
Building Bridges: Knowledge Graph Embeddings Respecting Logical Rules (short paper)
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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) - Reasoning in knowledge graphs : bridging databases and the semantic web / Pavlović, A. (2020). Reasoning in knowledge graphs : bridging databases and the semantic web [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/79741
Supervisions
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Rule Mining on Knowledge Graph Embeddings : Making Implicit Knowledge Explicit and Explainable
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Vecera, J. (2024). Rule Mining on Knowledge Graph Embeddings : Making Implicit Knowledge Explicit and Explainable [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.119681
Download: PDF (1.16 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) -
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)