Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases
Summary: Ontological Pathfinding (OP) scales first-order rule mining to web-scale KBs (Freebase) using parallel batches, a relational KB model, partitioning, and pruning. Mines 36,625 rules in 34 hours; first system to scale to Freebase. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yang Chen
- 2. Sean Goldberg
- 3. Daisy Zhe Wang
- 4. Soumitra Siddharth Johri
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,013 | ArchimedesOne: Query Processing over Probabilistic Knowledge Bases | 2016 | VLDB | 5.2415551e-05 |
| 8,499 | Synthesizing Mapping Relationships Using Table Corpus | 2017 | SIGMOD | 4.4975851e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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