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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-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 866-872 (7 pages)

Publication milestones

  • Published - 2017

Publication status

Published - 2017

Publisher

IJCAI

Publication IDs

  • Scopus: 85031942106

Host publication title

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Host 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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Captures
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Citations
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Related Event

Title

International Joint Conferences on Artificial Intelligence

Event type

Conference

Degree of recognition

International event

Date

19/08/2017 - 25/08/2017

Location

MelbourneAustralia