Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries
Summary: Degree-aware heavy/light framework for static and dynamic evaluation of hierarchical queries with arbitrary free variables, trading preprocessing, update time, and enumeration delay via a tunable light/heavy threshold. Recovers prior bounds and, for a restricted subclass, achieves OMv‑conditioned worst-case optimal update time and enumeration delay. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ahmet Kara (University of Oxford)
- 2. Milos Nikolic (University of Edinburgh)
- 3. Dan Olteanu (University of Oxford)
- 4. Haozhe Zhang (University of Oxford)
BibTeX Citation
@inproceedings{kara_pods20,
address = {New York, NY, USA},
series = {{PODS} '20},
title = {{Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries}},
url = {https://dl.acm.org/doi/10.1145/3375395.3387646},
doi = {10.1145/3375395.3387646},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Kara, Ahmet and Nikolic, Milos and Olteanu, Dan and Zhang, Haozhe},
year = {2020}
}
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