On measuring inconsistency in definite and indefinite databases with denial constraints-Reference-Cited by-同舟云学术

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On measuring inconsistency in definite and indefinite databases with denial constraints

Published:2023-05 Issue: Volume:318 Page:103884
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Parisi Francesco^ORCID,Grant John

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference84 articles.

1. Combining artificial intelligence and databases for data integration;Levy,1999

2. Consistent query answers in inconsistent databases;Arenas,1999

3. An operational approach to consistent query answering;Calautti,2018

4. Policy-based inconsistency management in relational databases;Martinez;Int. J. Approx. Reason.,2014

5. DART: a data acquisition and repairing tool;Fazzinga,2006

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1. Abstract argumentation frameworks with strong and weak constraints;Artificial Intelligence;2024-11

2. Identifying roles of formulas in inconsistency under Priest's minimally inconsistent logic of paradox;Artificial Intelligence;2024-10

3. On measuring inconsistency in graph databases with regular path constraints;Artificial Intelligence;2024-10

4. Revising non-monotonic theories with sufficient and necessary conditions: the case of Defeasible Logic;Journal of Logic and Computation;2024-09-06

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