KG-Roar: Interactive Datalog-based Reasoning on Virtual Knowledge Graphs
Summary: KG-Roar interactively augments graph databases with Vadalog/Datalog business rules, materializing a browsable virtual KG on demand. Its distinctive web UI couples scalable runtime reasoning with context-aware exploration controls, demonstrated on a financial KG. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Luigi Bellomarini (Bank of Italy)
- 2. Marco Benedetti (Bank of Italy)
- 3. Andrea Gentili (Bank of Italy)
- 4. Davide Magnanimi (Bank of Italy; Polytechnic University of Milan)
- 5. Emanuel Sallinger (University of Oxford; Vienna University of Technology)
BibTeX Citation
@article{bellomarini_vldb23,
title = {{KG-Roar: Interactive Datalog-based Reasoning on Virtual Knowledge Graphs}},
author = {Bellomarini, Luigi and Benedetti, Marco and Gentili, Andrea and Magnanimi, Davide and Sallinger, Emanuel},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {4014--4017},
doi = {10.14778/3611540.3611609},
url = {https://doi.org/10.14778/3611540.3611609},
year = {2023}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,920 | The Vadalog System: Datalog-based Reasoning for Knowledge Graphs | 2018 | VLDB | 6.4449498e-05 |
| 9,522 | Exploiting the Power of Equality-generating Dependencies in Ontological Reasoning | 2022 | VLDB | 5.2557598e-05 |
| 9,863 | The Space-Efficient Core of Vadalog | 2019 | PODS | 5.2045536e-05 |
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