Merging Stratified Knowledge Bases Under Constraints
Abstract
In this paper, we propose a family of operators for merging stratified knowledge bases under integrity constraints. The operators are defined in a model-theoretic way. Our merging operators can be used to merge stratified knowledge bases where no numerical information is available. Furthermore, the original knowledge bases to be merged can be individually inconsistent. Both logical properties and computational complexity issues of the operators are studied.
Cite
Text
Qi et al. "Merging Stratified Knowledge Bases Under Constraints." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Qi et al. "Merging Stratified Knowledge Bases Under Constraints." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/qi2006aaai-merging/)BibTeX
@inproceedings{qi2006aaai-merging,
title = {{Merging Stratified Knowledge Bases Under Constraints}},
author = {Qi, Guilin and Liu, Weiru and Bell, David A.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {281-286},
url = {https://mlanthology.org/aaai/2006/qi2006aaai-merging/}
}