Members of GSI has published the article Sematch: Semantic Similarity Framework for Knowledge Graphs, Ganggao Zhu & Carlos A. Iglesias. (2017) . Knowledge-Based Systems, JCR 3.325 (Q1)Sematch is an integrated framework for the development, evaluation and application of semantic similarity in Knowledge Graphs (KGs). The framework provides a number of similarity datasets and tools, and allow users to interact with KGs, and it is available at https://github.com/gsi-upm/sematch.