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ATOM: Automatic Target-driven Ontology Merging


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Raunich, Salvatore; Rahm, Erhard
ATOM: Automatic Target-driven Ontology Merging
Proc. Int. Conf. on Data Engineering (Demo paper), 2011


The proliferation of ontologies and taxonomies in
many domains increasingly demands the integration of multiple
such ontologies to provide a unified view on them. We demonstrate
a new automatic approach to merge large taxonomies such
as product catalogs or web directories. Our approach is based on
an equivalence matching between a source and target taxonomy
to merge them. It is target-driven, i.e. it preserves the structure
of the target taxonomy as much as possible. Further, we show
how the approach can utilize additional relationships between
source and target concepts to semantically improve the merge