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.2021.15
URN: urn:nbn:de:0030-drops-137230
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/13723/
Livshits, Ester ;
Kimelfeld, Benny
The Shapley Value of Inconsistency Measures for Functional Dependencies
Abstract
Quantifying the inconsistency of a database is motivated by various goals including reliability estimation for new datasets and progress indication in data cleaning. Another goal is to attribute to individual tuples a level of responsibility to the overall inconsistency, and thereby prioritize tuples in the explanation or inspection of dirt. Therefore, inconsistency quantification and attribution have been a subject of much research in Knowledge Representation and, more recently, in Databases. As in many other fields, a conventional responsibility sharing mechanism is the Shapley value from cooperative game theory. In this paper, we carry out a systematic investigation of the complexity of the Shapley value in common inconsistency measures for functional-dependency (FD) violations. For several measures we establish a full classification of the FD sets into tractable and intractable classes with respect to Shapley-value computation. We also study the complexity of approximation in intractable cases.
BibTeX - Entry
@InProceedings{livshits_et_al:LIPIcs.ICDT.2021.15,
author = {Livshits, Ester and Kimelfeld, Benny},
title = {{The Shapley Value of Inconsistency Measures for Functional Dependencies}},
booktitle = {24th International Conference on Database Theory (ICDT 2021)},
pages = {15:1--15:19},
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/2021/13723},
URN = {urn:nbn:de:0030-drops-137230},
doi = {10.4230/LIPIcs.ICDT.2021.15},
annote = {Keywords: Shapley value, inconsistent databases, functional dependencies, database repairs}
}
Keywords: |
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Shapley value, inconsistent databases, functional dependencies, database repairs |
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 |