Embedding Non-Ground Logic Programs into Autoepistemic Logic for Knowledge-Base Combination
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 304-308.
Abstract
In the context of the Semantic Web, several approaches to the combination of ontologies, given in terms of theories of classical first-order logic, and rule bases have been proposed. They either cast rules into classical logic or limit the interaction between rules and ontologies. Autoepistemic logic (AEL) is an attractive formalism which allows to overcome these limitations, by serving as a uniform host language to embed ontologies and nonmonotonic logic programs into it. For the latter, so far only the propositional setting has been considered. In this paper, we present several embeddings of normal and disjunctive non-ground logic programs under the stable-model semantics into first-order AEL, and compare them in combination with classical theories, with respect to stable expansions and autoepistemic consequences. Our results reveal differences and correspondences of the embeddings and provide a useful guidance in the choice of a particular embedding for knowledge combination.
@inproceedings{ijcai2007p47,
title = {Embedding Non-Ground Logic Programs into Autoepistemic Logic for Knowledge-Base Combination},
author = {de Bruijn, Jos and Eiter, Thomas and Polleres, Axel and Tompits, Hans},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {304--308},
year = {2007},
url = {https://ijcai.org/proceedings/2007/47},
}
TY - CPAPER TI - Embedding Non-Ground Logic Programs into Autoepistemic Logic for Knowledge-Base Combination AU - de Bruijn, Jos AU - Eiter, Thomas AU - Polleres, Axel AU - Tompits, Hans T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 304 EP - 308 UR - https://ijcai.org/proceedings/2007/47 ER -Copied
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