Combining Fuzzy Information from Multiple Systems
Summary: Unifies set-valued and ranked multimedia/text query results via graded (fuzzy) sets in the Garlic system. Presents a retrieval algorithm for conjunctive fuzzy queries that, under independence, retrieves sublinear items (Θ(√n) for two conjuncts) with provably matching robust bounds across common aggregation rules, and proves existence of queries where linear retrieval is unavoidable. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ronald Fagin (IBM)
BibTeX Citation
@inproceedings{fagin_pods96,
address = {New York, NY, USA},
series = {{PODS} '96},
title = {{Combining Fuzzy Information from Multiple Systems}},
url = {https://dl.acm.org/doi/10.1145/237661.237715},
doi = {10.1145/237661.237715},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Fagin, Ronald},
year = {1996}
}
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