Inconsistency Measures for Repair Semantics in OBDA
Abstract
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.
Cite
Text
Yun et al. "Inconsistency Measures for Repair Semantics in OBDA." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/273Markdown
[Yun et al. "Inconsistency Measures for Repair Semantics in OBDA." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/yun2018ijcai-inconsistency/) doi:10.24963/IJCAI.2018/273BibTeX
@inproceedings{yun2018ijcai-inconsistency,
title = {{Inconsistency Measures for Repair Semantics in OBDA}},
author = {Yun, Bruno and Vesic, Srdjan and Croitoru, Madalina and Bisquert, Pierre},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2018},
pages = {1977-1983},
doi = {10.24963/IJCAI.2018/273},
url = {https://mlanthology.org/ijcai/2018/yun2018ijcai-inconsistency/}
}