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Information flow under budget constraints

Information flow under budget constraints
Information flow under budget constraints

Although first proposed in the database theory as properties of functional dependencies between attributes, Armstrong's axioms capture general principles of information flow by describing properties of dependencies between sets of pieces of information. This article generalizes Armstrong's axioms to a setting in which there is a cost associated with information. The proposed logical system captures general principles of dependencies between pieces of information constrained by a given budget.

Armstrong's axioms, Axiomatization, Budget constraints, Completeness
1529-3785
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0
Tao, Jia
008c0748-696c-4069-a351-551d311e8056
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0
Tao, Jia
008c0748-696c-4069-a351-551d311e8056

Naumov, Pavel and Tao, Jia (2017) Information flow under budget constraints. ACM Transactions on Computational Logic, 18 (4), [32]. (doi:10.1145/3152768).

Record type: Article

Abstract

Although first proposed in the database theory as properties of functional dependencies between attributes, Armstrong's axioms capture general principles of information flow by describing properties of dependencies between sets of pieces of information. This article generalizes Armstrong's axioms to a setting in which there is a cost associated with information. The proposed logical system captures general principles of dependencies between pieces of information constrained by a given budget.

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More information

Published date: 8 December 2017
Additional Information: Publisher Copyright: © 2017 ACM.
Keywords: Armstrong's axioms, Axiomatization, Budget constraints, Completeness

Identifiers

Local EPrints ID: 481058
URI: http://eprints.soton.ac.uk/id/eprint/481058
ISSN: 1529-3785
PURE UUID: 6604838d-d64a-45f7-a23c-a79b492e285a
ORCID for Pavel Naumov: ORCID iD orcid.org/0000-0003-1687-045X

Catalogue record

Date deposited: 15 Aug 2023 16:43
Last modified: 17 Mar 2024 04:10

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Contributors

Author: Pavel Naumov ORCID iD
Author: Jia Tao

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