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Two approaches to ontology aggregation based on axiom weakening

Contributo in Atti di convegno
Data di Pubblicazione:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Ontology merging; Ontology alignment; Ontology aggregation; Ontology debugging; Social choice theory; Judgment aggregation
Elenco autori:
Porello, Daniele
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/362789
Titolo del libro:
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, {IJCAI} 2018, July 13-19, 2018, Stockholm, Sweden
Pubblicato in:
IJCAI
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-85055706660&origin=inward
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