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KBPearl: A Knowledge Base Population System Supported by Joint Entity and Relation Linking

Summary: KBPearl is an end-to-end KBP system that ingests an incomplete KB and a corpus to canonicalize noisy Open IE extractions. Entity and relation linking with contextual and source-side cues enables efficient KB population, beating SOTA on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12025
Venue
VLDB
Year
2020
Pagerank
5.741618e-05
Overall Rank
5,041 | 64.94%
DOI
10.14778/3384345.3384352

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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
667 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00018440557
1,878 Query-Driven On-The-Fly Knowledge Base Construction 2018 VLDB 0.00010233436
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