A B S T R A C T
The proliferation of ontologies and taxonomies in many domains increasingly demands
the integration of multiple such ontologies. We propose a new taxonomy merging
algorithm called ATOM that, given as input two taxonomies and a match mapping between
them, can generate an integrated taxonomy in a largely automatic manner. The approach
is target-driven, i.e. we merge a source taxonomy into the target taxonomy and preserve
the target ontology as much as possible. In contrast to previous approaches, ATOM does not
aim at fully preserving all input concepts and relationships but strives to reduce
the semantic heterogeneity of the merge results for improved understandability. ATOM
can also exploit advanced match mappings containing is-a relationships in addition to
equivalence relationships between concepts of the input taxonomies. We evaluate ATOM
for synthetic and real-world scenarios and compare it with a full merge solution.
& 2013 Elsevier Ltd. All rights reserved.
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کد محصول : شماره 165
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