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The increased availability of interdependent heterogeneous data generated from different sources is fostering the incorporation of semantic knowledge-based graphs and ontologies in information management and search applications. Most of the existing Information Retrieval systems mainly focus on the semantic analysis of the information contained in heterogeneous data. In their results, they provide documents as query answers without considering (i) detailed information regarding relevantdoi:10.1145/3297280.3297358 dblp:conf/sac/CharbelSLC19 fatcat:semvs2gqvfeh3gwqwhndisrg44