Abstract
In the context of medical imaging different domain ontologies are
necessary that provide complementary knowledge about anatomy and
radiology. This is essential for realizing applications such as medical
image search. Consequently, semantic integration of these different
but nevertheless related types of medical knowledge from disparate
domain ontologies becomes necessary. In our work we interpret semantic
integration as aligning a taxonomy on radiology and an ontology on
human anatomy to find equivalent concepts that represent their shared
view on medical imaging. The resulting alignments describing this
common view can then be used to annotate medical images and related
textual patient data. Our alignment approach has three main aspects:
(a) linguistic-based, (b) corpus-based, and (c) dialogue-based. In
this paper, we describe the application of the first aspect on a
representation of human anatomy and a representation of radiology
and report on the results.
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