Abstract
Traditional algorithms for description logic (DL) instance retrieval are inefficient for large amounts of underlying data. As description logic is becoming popular in areas such as the Semantic Web, it is very important to have systems that can reason efficiently over large data sets. In this paper we present the DLog description logic reasoner specifically designed for such scenarios.
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