KOSIMap: Use of Description Logic Reasoning to Align Heterogeneous Ontologies

Semantic interoperability is essential on the Semantic Web to enable different information systems to exchange data. Such interop- erability can be achieved by identifying similar information in heteroge- neous ontologies. In this paper, we describe the Knowledge Organisation System Implicit Mapping (KOSIMap) framework, which differs from ex- isting 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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