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Semantic interoperability is essential on the Semantic Web to enable diﬀerent information systems to exchange data. Such interoperability can be achieved by identifying similar information in heterogeneous ontologies. In this paper, we describe the Knowledge Organisation System Implicit Mapping (KOSIMap) framework, which diﬀers from existing ontology mapping approaches by using description logic reasoning (i) to extract implicit information as background knowledge for every entity, and (ii) to remove inappropriate mappings from an alignment.
The results of our evaluation show that the use of Description Logic in the ontology matching task increases coverage.
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