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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)

Paper ID
13253
Venue
VLDB
Year
2023
Pagerank
-
Overall Rank
13,192 | 8.23%
DOI
10.14778/3611540.3611609

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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
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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