Abstract
We consider the dichotomy conjecture for consistent query answering under primary key constraints. It states that, for every fixed Boolean conjunctive query q, testing whether q is certain (i.e. whether it evaluates to true over all repairs of a given inconsistent database) is either polynomial time or coNP-complete. This conjecture has been verified for self-join-free and path queries.
We propose a simple inflationary fixpoint algorithm for consistent query answering which, for a given database, naively computes a set Δ of subsets of database repairs with at most k facts, where k is the size of the query q. The algorithm runs in polynomial time and can be formally defined as:
1) Initialize Δ with all sets S of at most k facts such that S⊧ q.
2) Add any set S of at most k facts to Δ if there exists a block B (i.e., a maximal set of facts sharing the same key) such that for every fact a ∈ B there is a set S' ∈ Δ contained in S ∪ {a}. The algorithm answers "q is certain" iff Δ eventually contains the empty set. The algorithm correctly computes certainty when the query q falls in the polynomial time cases of the known dichotomies for self-join-free queries and path queries. For arbitrary Boolean conjunctive queries, the algorithm is an under-approximation: the query is guaranteed to be certain if the algorithm claims so. However, there are polynomial time certain queries (with self-joins) which are not identified as such by the algorithm.
BibTeX - Entry
@InProceedings{figueira_et_al:LIPIcs.ICDT.2023.24,
author = {Figueira, Diego and Padmanabha, Anantha and Segoufin, Luc and Sirangelo, Cristina},
title = {{A Simple Algorithm for Consistent Query Answering Under Primary Keys}},
booktitle = {26th International Conference on Database Theory (ICDT 2023)},
pages = {24:1--24:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-270-9},
ISSN = {1868-8969},
year = {2023},
volume = {255},
editor = {Geerts, Floris and Vandevoort, Brecht},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2023/17766},
URN = {urn:nbn:de:0030-drops-177663},
doi = {10.4230/LIPIcs.ICDT.2023.24},
annote = {Keywords: consistent query answering, primary keys, conjunctive queries}
}
Keywords: |
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consistent query answering, primary keys, conjunctive queries |
Collection: |
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26th International Conference on Database Theory (ICDT 2023) |
Issue Date: |
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2023 |
Date of publication: |
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17.03.2023 |