And in the classifying phase, each pair of elements from two to-be-matched ontologies is predicted as matched or not according to its attributes.
eR-SOM is an unsupervised approach, but it does not exclude using external resources and training data to help learning the representations of entities and provide the initial similarity matrix for the SP method to further improve the performance.