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This article presents a new knowledge-based approach for finding interesting semantic relations between resources in a knowledge graph (KG). The idea is to characterize the notion of 'interesting connection' in terms of generic ontological explanation patterns that are applied to an underlying linked data repository to instantiate connections. In this way, (1) semantically uninteresting connections can be ruled out effectively and (2) natural language explanations about the connections can bedoi:10.1093/llc/fqab042 fatcat:vi2ml7vffrgnjkhbpueu6mpn4q