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The increasing availability and usage of Knowledge Graphs (KGs) on the Web calls for scalable and general-purpose solutions to store this type of data structures. We propose Trident, a novel storage architecture for very large KGs on centralized systems. Trident uses several interlinked data structures to provide fast access to nodes and edges, with the physical storage changing depending on the topology of the graph to reduce the memory footprint. In contrast to single architectures designeddoi:10.1145/3366423.3380246 dblp:conf/www/UrbaniJ20 fatcat:pryxyqw2ovhetbgjfa5hmdgq5u