KG-Roar: Interactive Datalog-based Reasoning on Virtual Knowledge Graphs
Summary: KG-Roar: a web-based IDE that lets users augment graph databases with intensional Datalog (Vadalog) rules via reusable "reasoning widgets" to define derived nodes and edges. Generates and navigates a Virtual Knowledge Graph with interactive, runtime reasoning—domain-independent yet context-aware and demonstrated at scale on a real financial KG. (summarized by gpt-5-mini on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,165 | The Vadalog System: Datalog-based Reasoning for Knowledge Graphs | 2018 | VLDB | 5.6529675e-05 |
| 9,377 | Exploiting the Power of Equality-generating Dependencies in Ontological Reasoning | 2022 | VLDB | 4.347117e-05 |
| 9,738 | The Space-Efficient Core of Vadalog | 2019 | PODS | 4.2936538e-05 |
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