Efficient Query Reformulation in Peer Data Management Systems
Summary: PDMS query reformulation scaled by path pruning, reformulation minimization, and strategy-aware search over semantic mappings. Pre-computing semantic paths and novel XML containment/minimization plus mapping composition algorithms enable practical, scalable cross-peer data access. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Igor Tatarinov (University of Washington)
- 2. Alon Halevy (University of Washington)
BibTeX Citation
@inproceedings{tatarinov_sigmod04,
title = {{Efficient Query Reformulation in Peer Data Management Systems}},
author = {Tatarinov, Igor and Halevy, Alon},
series = {{SIGMOD} '04},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1007568.1007629},
url = {https://dl.acm.org/doi/10.1145/1007568.1007629},
year = {2004}
}
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