Semantics for Active Integrity Constraints Using Approximation Fixpoint Theory
- Bart Bogaerts,
- Luís Cruz-Filipe
- University of Southern Denmark
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 866-872 (7 pages)Publication milestones
- Published - 2017
Publication status
Published - 2017
Publisher
IJCAIPublication IDs
- Scopus: 85031942106
Host publication title
Proceedings of the Twenty-Sixth International Joint Conference on Artificial IntelligenceHost publication editors
- Charles Sierra
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.
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Related Event
Title
International Joint Conferences on Artificial Intelligence
Event type
ConferenceDegree of recognition
International eventDate
19/08/2017 - 25/08/2017Location
MelbourneAustralia
