License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICDT.2021.16
URN: urn:nbn:de:0030-drops-137245
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/13724/
Carmeli, Nofar ;
Grohe, Martin ;
Kimelfeld, Benny ;
Livshits, Ester ;
Tibi, Muhammad
Database Repairing with Soft Functional Dependencies
Abstract
A common interpretation of soft constraints penalizes the database for every violation of every constraint, where the penalty is the cost (weight) of the constraint. A computational challenge is that of finding an optimal subset: a collection of database tuples that minimizes the total penalty when each tuple has a cost of being excluded. When the constraints are strict (i.e., have an infinite cost), this subset is a "cardinality repair" of an inconsistent database; in soft interpretations, this subset corresponds to a "most probable world" of a probabilistic database, a "most likely intention" of a probabilistic unclean database, and so on. Within the class of functional dependencies, the complexity of finding a cardinality repair is thoroughly understood. Yet, very little is known about the complexity of finding an optimal subset for the more general soft semantics. This paper makes a significant progress in this direction. In addition to general insights about the hardness and approximability of the problem, we present algorithms for two special cases: a single functional dependency, and a bipartite matching. The latter is the problem of finding an optimal "almost matching" of a bipartite graph where a penalty is paid for every lost edge and every violation of monogamy.
BibTeX - Entry
@InProceedings{carmeli_et_al:LIPIcs.ICDT.2021.16,
author = {Carmeli, Nofar and Grohe, Martin and Kimelfeld, Benny and Livshits, Ester and Tibi, Muhammad},
title = {{Database Repairing with Soft Functional Dependencies}},
booktitle = {24th International Conference on Database Theory (ICDT 2021)},
pages = {16:1--16:17},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-179-5},
ISSN = {1868-8969},
year = {2021},
volume = {186},
editor = {Yi, Ke and Wei, Zhewei},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2021/13724},
URN = {urn:nbn:de:0030-drops-137245},
doi = {10.4230/LIPIcs.ICDT.2021.16},
annote = {Keywords: Database inconsistency, database repairs, integrity constraints, soft constraints, functional dependencies}
}
Keywords: |
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Database inconsistency, database repairs, integrity constraints, soft constraints, functional dependencies |
Collection: |
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24th International Conference on Database Theory (ICDT 2021) |
Issue Date: |
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2021 |
Date of publication: |
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11.03.2021 |