Testing Implications Of Data Dependencies
Summary: Proposes a chase-based method to test implication of data dependencies. Interprets tableaux as mappings or templates to handle functional and join dependencies, unifying prior tableau methods; enables checking schema equivalence and component independence, ensuring relational schemas capture intended information. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. David Maier (State University of New York at Stony Brook)
- 2. Alberto Mendelzon (Princeton University)
- 3. Yehoshua Sagiv (University of Illinois Urbana-Champaign)
BibTeX Citation
@inproceedings{maier_sigmod79,
title = {{TESTING IMPLICATIONS OF DATA DEPENDENCIES}},
author = {Maier, David and Mendelzon, Alberto and Sagiv, Yehoshua},
series = {{SIGMOD} '79},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/582095.582119},
url = {https://dl.acm.org/doi/10.1145/582095.582119},
year = {1979}
}
Incoming Citations (Sorted by Pagerank)
Showing 50 of 93 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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