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Semantics for Active Integrity Constraints Using Approximation Fixpoint Theory

  • Syddansk Universitet

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstract

Active integrity constraints (AICs) constitute a formalism to associate with a database not just the constraints it should adhere to, but also how to fix the database in case one or more of these constraints are violated. The intuitions regarding which repairs are “good” given such a description are closely related to intuitions that live in various areas of non-monotonic reasoning. In this paper, we apply approximation fixpoint theory, an algebraic framework that unifies semantics of non-monotonic logics, to the field of AICs. This results in a new family of semantics for AICs, of which we study semantics and relationships to existing semantics. We argue that the AFT-well-founded semantics has some desirable properties.
OriginalsprogEngelsk
TitelProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
RedaktørerCharles Sierra
Antal sider7
ForlagIJCAI
Publikationsdato2017
Sider866-872
DOI
StatusUdgivet - 2017
Udgivet eksterntJa
BegivenhedInternational Joint Conferences on Artificial Intelligence - Melbourne, Australien
Varighed: 19 aug. 201725 aug. 2017
Konferencens nummer: 26
https://ijcai-17.org/

Konference

KonferenceInternational Joint Conferences on Artificial Intelligence
Nummer26
Land/OmrådeAustralien
ByMelbourne
Periode19/08/201725/08/2017
Internetadresse

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