Motivated by the fact that contemporary argumentation systems provide low or no support with regards to argument and information processing, this paper presents a generic computational model that is able to identify and assess structural similarities in argumentative discourses. Focusing on the structure of such discourses, we sketch representative scenarios where the proposed model can be applied at a wide range of argumentation systems in order to define, elaborate and mine meaningful argumentation patterns. We argue that the proposed model is of considerable contribution to both theoretical and practical aspects of argumentation.