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.File | Dimensione | Formato | |
---|---|---|---|
Porello-2017-Lecture Notes Comput Sci-preprint.pdf
accesso aperto
Descrizione: Conference Paper
Tipologia di allegato:
Submitted Version (Pre-print)
Licenza:
Altro
Dimensione
374.13 kB
Formato
Adobe PDF
|
374.13 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.