A General Modifier-based Framework for Inconsistency-Tolerant Query Answering
Artificial Intelligence
2016-02-19 v1
Abstract
We propose a general framework for inconsistency-tolerant query answering within existential rule setting. This framework unifies the main semantics proposed by the state of art and introduces new ones based on cardinality and majority principles. It relies on two key notions: modifiers and inference strategies. An inconsistency-tolerant semantics is seen as a composite modifier plus an inference strategy. We compare the obtained semantics from a productivity point of view.
Cite
@article{arxiv.1602.05828,
title = {A General Modifier-based Framework for Inconsistency-Tolerant Query Answering},
author = {Jean Francois Baget and Salem Benferhat and Zied Bouraoui and Madalina Croitoru and Marie-Laure Mugnier and Odile Papini and Swan Rocher and Karim Tabia},
journal= {arXiv preprint arXiv:1602.05828},
year = {2016}
}