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Repairing Socially Aggregated Ontologies Using Axiom Weakening

Contributo in Atti di convegno
Data di Pubblicazione:
2017
Abstract:
Ontologies represent principled, formalised descriptions of agents' conceptualisations of a domain. For a community of agents, these descriptions may significantly differ. We propose an aggregative view of the integration of ontologies based on Judgement Aggregation (JA). Agents may vote on statements of the ontologies, and we aim at constructing a collective, integrated ontology, that reflects the individual conceptualisations as much as possible. As several results in JA show, many attractive and widely used aggregation procedures are prone to return inconsistent collective ontologies. We propose to solve the possible inconsistencies in the collective ontology by applying suitable weakenings of axioms that cause inconsistencies.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Ontology; Judgment Aggregation; Debugging; Axiom weakening
Elenco autori:
Porello, Daniele
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/362810
Titolo del libro:
{PRIMA} 2017: Principles and Practice of Multi-Agent Systems - 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings
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http://www.scopus.com/record/display.url?eid=2-s2.0-85034268974&origin=inward
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