Scalable Reasoning on Document Stores via Instance-Aware Query Rewriting
Summary: Introduce constrained tree-rules for inferring over heterogeneous JSON and identify a tractable fragment with an automata-based query-rewriting algorithm. Present instance-aware rewrites that leverage NoSQL document stores to scale reasoning to millions of JSON documents. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Olivier Rodriguez (CNRS; INRIA; Laboratory of Computer Science, Robotics and Microelectronics of Montpellier; University of Montpellier)
- 2. Federico Ulliana (CNRS; INRIA; Laboratory of Computer Science, Robotics and Microelectronics of Montpellier; University of Montpellier)
- 3. Marie-Laure Mugnier (CNRS; INRIA; Laboratory of Computer Science, Robotics and Microelectronics of Montpellier; University of Montpellier)
BibTeX Citation
@article{rodriguez_vldb23,
title = {{Scalable Reasoning on Document Stores via Instance-Aware Query Rewriting}},
author = {Rodriguez, Olivier and Ulliana, Federico and Mugnier, Marie-Laure},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {11},
pages = {2699--2713},
doi = {10.14778/3611479.3611481},
url = {https://doi.org/10.14778/3611479.3611481},
year = {2023}
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