Using semantic graphs in clustering process : Enhance information level

In this paper we particularly focused our attention on how to enhance expressivity of ontologies when used as organized space values in a catalogue request process. Using the Wishbone engine [5], we describe our new contribution by using a semantic graph instead of a tree for the solution set clustering step. We perform a dynamic transformation in order to enhance the intension meaning, and implement a linear programming clustering algorithm. We also expose a rating system in order to evaluate our clustering process quality.