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)
Incoming Non-self Citations Over Time
Authors
- 1. Ihab F. Ilyas (Apple)
- 2. JP Lacerda (Apple)
- 3. Yunyao Li (Apple)
- 4. Umar Farooq Minhas (Apple)
- 5. Ali Mousavi (Apple)
- 6. Jeffrey Pound (Apple)
- 7. Theodoros Rekatsinas (Apple)
- 8. Chiraag Sumanth (Apple)
BibTeX Citation
@inproceedings{ilyas_sigmod23,
title = {{Growing and Serving Large Open-domain Knowledge Graphs}},
author = {Ilyas, Ihab F. and Lacerda, JP and Li, Yunyao and Minhas, Umar Farooq and Mousavi, Ali and Pound, Jeffrey and Rekatsinas, Theodoros and Sumanth, Chiraag},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3555041.3589672},
url = {https://dl.acm.org/doi/10.1145/3555041.3589672},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,479 | Credible Intervals for Knowledge Graph Accuracy Estimation | 2025 | SIGMOD | 5.1708619e-05 |
| 10,765 | LLMs as Stratification Signals for KG Accuracy Evaluation | 2026 | VLDB | 4.9793485e-05 |
| 11,530 | GE2: A General and Efficient Knowledge Graph Embedding Learning System | 2024 | SIGMOD | 4.9793485e-05 |
| 11,572 | Efficient and Reliable Estimation of Knowledge Graph Accuracy | 2024 | VLDB | 4.9793485e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,013 | Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale | 2022 | SIGMOD | 7.7541678e-05 |
| 8,844 | Creation and Interaction with Large-scale Domain-Specific Knowledge Bases | 2017 | VLDB | 5.2651114e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,800 | MGRAG: Semantic Subgraph Matching and Graph-Aware Caching for Multimodal Retrieval-Augmented Generation | 2026 | VLDB |
| 2 | 4,148 | A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs | 2020 | VLDB |
| 3 | 8,687 | Knowledge Graph Exploration Systems: are we lost? | 2022 | CIDR |
| 4 | 9,247 | Data Lakes Empowered by Knowledge Graph Technologies | 2021 | SIGMOD |
| 5 | 10,213 | A Universal Question-Answering Platform for Knowledge Graphs | 2023 | SIGMOD |
| 6 | 9,082 | Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact | 2023 | VLDB |
| 7 | 10,835 | Sankofa: Online Query-adaptive Dynamic Graph Summaries | 2026 | VLDB |
| 8 | 12,533 | Knowledge Harvesting in the Big-Data Era | 2013 | SIGMOD |
| 9 | 4,673 | Knowledge Graphs 2021: A Data Odyssey | 2021 | VLDB |
| 10 | 3,013 | Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale | 2022 | SIGMOD |