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.2018/273

Markdown

[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.2018/273

BibTeX

@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/}
}