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Growing and Serving Large Open-domain Knowledge Graphs

Summary: Extends Saga to scalable open-domain KG construction and serving, with embeddings for ranking and verification. Semantic Annotation links Web content to KG, enabling extraction to fix gaps and enrich KG, with on-device private KG and cross sync. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6500
Venue
SIGMOD
Year
2023
Pagerank
6.2285818e-05
Overall Rank
5,578 | 61.24%
DOI
10.1145/3555041.3589672

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
10,486 Credible Intervals for Knowledge Graph Accuracy Estimation 2025 SIGMOD 5.1725247e-05
10,977 GE2: A General and Efficient Knowledge Graph Embedding Learning System 2024 SIGMOD 5.1725247e-05
11,032 Efficient and Reliable Estimation of Knowledge Graph Accuracy 2024 VLDB 5.1725247e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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