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GraSM (Graph-based Similarity Measure) is a method for incorporating the semantic richness of a graph in semantic similarity measures by selecting disjunctive common ancestors of two concepts. GraSM assumes that two common ancestors are disjunctive if there are independent paths from both ancestors to the concept. In 2011, the authors of GraSM proposed the method DiShIn with a higher computational efficiency and a more solid management of parallel interpretations.