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.

Porello, D., Troquard, N., Confalonieri, R., Galliani, P., Kutz, O., Peñaloza, R. (2017). Repairing Socially Aggregated Ontologies Using Axiom Weakening. In PRIMA 2017: Principles and Practice of Multi-Agent Systems, 20th International Conference, Nice, France, October 30 – November 3, 2017, Proceedings (pp.441-449). Springer Verlag [10.1007/978-3-319-69131-2_26].

Repairing Socially Aggregated Ontologies Using Axiom Weakening

Peñaloza, R
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.
paper
ontology repair, description logics
English
International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017)
2017
An B;Leite J;Villata S;van der Torre L
PRIMA 2017: Principles and Practice of Multi-Agent Systems, 20th International Conference, Nice, France, October 30 – November 3, 2017, Proceedings
9783319691305
2017
10621
441
449
open
Porello, D., Troquard, N., Confalonieri, R., Galliani, P., Kutz, O., Peñaloza, R. (2017). Repairing Socially Aggregated Ontologies Using Axiom Weakening. In PRIMA 2017: Principles and Practice of Multi-Agent Systems, 20th International Conference, Nice, France, October 30 – November 3, 2017, Proceedings (pp.441-449). Springer Verlag [10.1007/978-3-319-69131-2_26].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/258940
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