A. Doan and J. Madhaven and P. Domingos and A. Halevy, "Ontology matching: A machine learning approach", Handbook on Ontologies in Information Systems,2004,397-416, Springer-Verlag
This paper is about finding mappings between ontologies and discusses the system GLUE. Using learning techniques it semi-automatic generates mappings. This work attempts to address the issue of matching concept nodes.
It begins by discussing the meaning of similarity and a discussion around using the joint probability distribution of concepts.
It then discusses the complexities of computing the JPD for two different concepts.
It then discusses using machine learning to use instances of one concept to learn a classifier for that concept and the same for the second concept.
Rather than a single algorithm is uses multiple algorithms and then combines their predictions.
This paper is long. Their techniques are novel and interesting. This is a good paper to use for machine learning techniques for instance matching.
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