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An ontology database is a basic relational database management system that models an ontology plus its instances. To reason over the transitive closure of instances in the subsumption hierarchy, for example, an ontology database can either unfold views at query time or propagate assertions using triggers at load time. In this paper, the authors use existing benchmarks to evaluate their method - using triggers - and they demonstrate that by forward computing inferences, they not only improve query time, but the improvement appears to cost only more space (not time).
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