How to Select One Preferred Assertional-Based Repair from Inconsistent and Prioritized DL-Lite Knowledge Bases?
Abstract
Managing inconsistency in DL-Lite knowledge bases where the assertional base is prioritized is a crucial problem in many applications. This is especially true when the assertions are provided by multiple sources having different reliability levels. This paper first reviews existing approaches for selecting preferred repairs. It then focuses on suitable strategies for handling inconsistency in DL-Lite knowledge bases. It proposes new approaches based on the selection of only one preferred repair. These strategies have as a starting point the so-called non-defeated repair and add one of the following principles: deductive closure, consistency, cardinality and priorities. Lastly, we provide a comparative analysis followed by an experimental evaluation of the studied approaches.
Cite
Text
Benferhat et al. "How to Select One Preferred Assertional-Based Repair from Inconsistent and Prioritized DL-Lite Knowledge Bases?." International Joint Conference on Artificial Intelligence, 2015.Markdown
[Benferhat et al. "How to Select One Preferred Assertional-Based Repair from Inconsistent and Prioritized DL-Lite Knowledge Bases?." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/benferhat2015ijcai-select/)BibTeX
@inproceedings{benferhat2015ijcai-select,
title = {{How to Select One Preferred Assertional-Based Repair from Inconsistent and Prioritized DL-Lite Knowledge Bases?}},
author = {Benferhat, Salem and Bouraoui, Zied and Tabia, Karim},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2015},
pages = {1450-1456},
url = {https://mlanthology.org/ijcai/2015/benferhat2015ijcai-select/}
}