ML Anthology

Non-Objection Inference for Inconsistency-Tolerant Query Answering

Salem Benferhat, Zied Bouraoui, Madalina Croitoru, Odile Papini, Karim Tabia
IJCAI 2016 pp. 3684-3690
/ijcai/2016/benferhat2016ijcai-non/

Abstract

Repair based techniques are a standard way of dealing with inconsistency in the context of ontology based data access. We propose a novel non-objection inference relation (along with its variants) where a query is considered as valid if it follows from at least one repair and it is consistent with all the repairs. These inferences are strictly more productive than universal inference while preserving the consistency of its set of conclusions. We study the productivity and properties of the new inferences. We also give experimental results of the proposed non-objection inference. PDF

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Cite

Text

Benferhat et al. "Non-Objection Inference for Inconsistency-Tolerant Query Answering." International Joint Conference on Artificial Intelligence, 2016.

Markdown

[Benferhat et al. "Non-Objection Inference for Inconsistency-Tolerant Query Answering." International Joint Conference on Artificial Intelligence, 2016.](https://mlanthology.org/ijcai/2016/benferhat2016ijcai-non/)

BibTeX

@inproceedings{benferhat2016ijcai-non,
  title     = {{Non-Objection Inference for Inconsistency-Tolerant Query Answering}},
  author    = {Benferhat, Salem and Bouraoui, Zied and Croitoru, Madalina and Papini, Odile and Tabia, Karim},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {3684-3690},
  url       = {https://mlanthology.org/ijcai/2016/benferhat2016ijcai-non/}
}