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Article Dans Une Revue Artificial Intelligence Année : 2015

Revision in networks of ontologies

Résumé

Networks of ontologies are made of a collection of logic theories, called ontologies, related by alignments. They arise naturally in distributed contexts in which theories are developed and maintained independently, such as the semantic web. In networks of ontologies, inconsistency can come from two different sources: local inconsistency in a particular ontology or alignment, and global inconsistency between them. Belief revision is well-defined for dealing with ontologies; we investigate how it can apply to networks of ontologies. We formulate revision postulates for alignments and networks of ontologies based on an abstraction of existing semantics of networks of ontologies. We show that revision operators cannot be simply based on local revision operators on both ontologies and alignments. We adapt the partial meet revision framework to networks of ontologies and show that it indeed satisfies the revision postulates. Finally, we consider strategies based on network characteristics for designing concrete revision operators.
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Dates et versions

hal-01188763 , version 1 (31-08-2015)

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Jérôme Euzenat. Revision in networks of ontologies. Artificial Intelligence, 2015, 228, pp.195-216. ⟨10.1016/j.artint.2015.07.007⟩. ⟨hal-01188763⟩
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