Existence and nonexistence of complete refinement operators
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Machine Learning
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
A Refinement Operator for Description Logics
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
The Description Logic Handbook
The Description Logic Handbook
Bootstrapping ontology alignment methods with APFEL
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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The Semantic Web needs methodologies to accomplish actual commitment on shared ontologies among different actors in play In this paper, we propose a machine learning approach to solve this issue relying on classified instance exchange and inductive reasoning This approach is based on the idea that, whenever two (or more) software entities need to align their ontologies (which amounts, from the point of view of each entity, to add one or more new concept definitions to its own ontology), it is possible to learn the new concept definitions starting from shared individuals (i.e individuals already described in terms of both ontologies, for which the entities have statements about classes and related properties); these individuals, arranged in two sets of positive and negative examples for the target definition, are used to solve a learning problem which as solution gives the definition of the target concept in terms of the ontology used for the learning process The method has been applied in a preliminary prototype for a small multi-agent scenario (where the two entities cited before are instantiated as two software agents) Following the prototype presentation, we report on the experimental results we obtained and then draw some conclusions.