Axiom weakening is a novel technique that allows for fine-grained repair of inconsistent ontologies. In a multi-agent setting, integrating ontologies corresponding to multiple agents may lead to inconsistencies. Such inconsistencies can be resolved after the integrated ontology has been built, or their generation can be prevented during ontology generation. We implement and compare these two approaches. First, we study how to repair an inconsistent ontology resulting from a voting-based aggregation of views of heterogeneous agents. Second, we prevent the generation of inconsistencies by letting the agents engage in a turn-based rational protocol about the axioms to be added to the integrated ontology. We instantiate the two approaches using real-world ontologies and compare them by measuring the levels of satisfaction of the agents w.r.t. the ontology obtained by the two procedures.

Porello, D., Troquard, N., Peñaloza, R., Confalonieri, R., Galliani, P., Kutz, O. (2018). Two Approaches to Ontology Aggregation Based on Axiom Weakening. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI 2018) (pp.1942-1948). A A A I Press [10.24963/ijcai.2018/268].

Two Approaches to Ontology Aggregation Based on Axiom Weakening

Peñaloza, R;
2018

Abstract

Axiom weakening is a novel technique that allows for fine-grained repair of inconsistent ontologies. In a multi-agent setting, integrating ontologies corresponding to multiple agents may lead to inconsistencies. Such inconsistencies can be resolved after the integrated ontology has been built, or their generation can be prevented during ontology generation. We implement and compare these two approaches. First, we study how to repair an inconsistent ontology resulting from a voting-based aggregation of views of heterogeneous agents. Second, we prevent the generation of inconsistencies by letting the agents engage in a turn-based rational protocol about the axioms to be added to the integrated ontology. We instantiate the two approaches using real-world ontologies and compare them by measuring the levels of satisfaction of the agents w.r.t. the ontology obtained by the two procedures.
paper
description logics, axiom weakening, aggregation;
English
27th International Joint Conference on Artificial Intelligence, IJCAI 2018 - 13 July 2018 through 19 July 2018
2018
Lang, J
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI 2018)
978-099924112-7
2018
2018-July
1942
1948
open
Porello, D., Troquard, N., Peñaloza, R., Confalonieri, R., Galliani, P., Kutz, O. (2018). Two Approaches to Ontology Aggregation Based on Axiom Weakening. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI 2018) (pp.1942-1948). A A A I Press [10.24963/ijcai.2018/268].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/233829
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