In this paper, we place ourselves in the Ontology Based Data Access (OBDA) setting and investigate reasoning with inconsistent existential rules knowledge bases. We use the notion of inconsistency measures on sets of facts to rank and filter repairs. We propose a generic framework to answer queries by using the best repairs and study productivity and properties of such a framework.
|Title of host publication||Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence|
|Publisher||International Joint Conferences on Artificial Intelligence Organization|
|Number of pages||7|
|Publication status||Published - 1 Jul 2018|
|Event||Twenty-Seventh International Joint Conference on Artiﬁcial Intelligence - Stockholm, Sweden|
Duration: 13 Jul 2018 → 19 Jul 2018
|Conference||Twenty-Seventh International Joint Conference on Artiﬁcial Intelligence|
|Period||13/07/18 → 19/07/18|
Bibliographical noteSrdjan Vesic benefited from ANR-13-BS02-0004 AMANDE
and CNRS PEPS 2018 APOLONIO.
- Repair semantics
- Inconsistency measures
- Shapley values