Chen, Hubie (2014) On the complexity of Existential Positive Queries. ACM Transactions on Computational Logic 15 (1), ISSN 1529-3785.
|
Text
1206.3902.pdf - Author's Accepted Manuscript Download (260kB) | Preview |
Abstract
We systematically investigate the complexity of model checking the existential positive fragment of first-order logic. In particular, for a set of existential positive sentences, we consider model checking where the sentence is restricted to fall into the set; a natural question is then to classify which sentence sets are tractable and which are intractable. With respect to fixed-parameter tractability, we give a general theorem that reduces this classification question to the corresponding question for primitive positive logic, for a variety of representations of structures. This general theorem allows us to deduce that an existential positive sentence set having bounded arity is fixed-parameter tractable if and only if each sentence is equivalent to one in bounded-variable logic. We then use the lens of classical complexity to study these fixed-parameter tractable sentence sets. We show that such a set can be NP-complete, and consider the length needed by a translation from sentences in such a set to bounded-variable logic; we prove superpolynomial lower bounds on this length using the theory of compilability, obtaining an interesting type of formula size lower bound. Overall, the tools, concepts, and results of this article set the stage for the future consideration of the complexity of model checking on more expressive logics.
Metadata
Item Type: | Article |
---|---|
Additional Information: | © ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published at the link above. |
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
Depositing User: | Hubie Chen |
Date Deposited: | 18 Apr 2018 12:27 |
Last Modified: | 09 Aug 2023 12:43 |
URI: | https://eprints.bbk.ac.uk/id/eprint/21941 |
Statistics
Additional statistics are available via IRStats2.