What is "dishin"

DiShIn (Disjunctive Shared Information) is a method for exploitation of multiple inheritance when calculating the shared information content between two ontological concepts being compared by node-based semantic similarity measures. DiShIn re-defines the shared information content between two concepts as the average of all their disjunctive ancestors, assuming that an ancestor is disjunctive if the difference between the number of distinct paths from the concepts to it is different from that of any other more informative ancestor. In other words, a disjunctive ancestor is the most informative ancestor representing a given set of parallel interpretations. DiShIn is an improvement of GraSM in terms of computational efficiency and in the management of parallel interpretations.