This paper describes an automatization of conceptual schema clustering through the definition of semantic distances between concepts, and the use of a clustering algorithm. For entity-relationship clustering, we define three different distances (visual, hierarchical and cohesive) depending on the semantic richness. Object model clustering is based on the structural, semantic and communication characteristics of objects.
AKOKA, J. and COMYN-WATTIAU, I. (1996). Entity-relationship and Object-oriented Model Automatic Clustering. ESSEC Business School.