Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale
Summary: Saga enables continuous construction and serving of a knowledge graph at industrial scale with a hybrid batch-incremental pipeline. It addresses data freshness, accuracy, and availability, detailing Saga's architecture and lessons from production use. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ihab F. Ilyas (Apple)
- 2. Theodoros Rekatsinas (Apple)
- 3. Vishnu Konda (Apple)
- 4. Jeffrey Pound (Apple)
- 5. Xiaoguang Qi (Apple)
- 6. Mohamed Soliman (Apple)
BibTeX Citation
@inproceedings{ilyas_sigmod22,
title = {{Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale}},
author = {Ilyas, Ihab F. and Rekatsinas, Theodoros and Konda, Vishnu and Pound, Jeffrey and Qi, Xiaoguang and Soliman, Mohamed},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3526049},
url = {https://dl.acm.org/doi/10.1145/3514221.3526049},
year = {2022}
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