Abstract
In the medical domain, semantic image retrieval can provide the basis
for a new generation of sophisticated decision support and computer
aided diagnosis systems. However, the acquisition of the necessary
medical knowledge about the image contents poses new problems. We
present a set of techniques for annotating images and querying image
data sets, based on image semantics. The unification of semantic
annotation (using a GUI) and querying (using natural dialogue) in
biomedical image repositories is based on a unified view on the knowledge
acquisition process. At the core, this system uses central RDF repository
to capture both medical domain knowledge as well as image annotations.
We understand medical knowledge engineering as an interactive process
between the knowledge engineer and the clinician. Our system supports
the knowledge engineering in an interative process between the dialogue
engineer and the clinician.
Users
Please
log in to take part in the discussion (add own reviews or comments).