New terminology services based on term comparison using semantic definitions and similarity computation.
As medical information can be encoded within different terminological systems, terms comparison is an important issue to allow communication between applications. In description logics, terms are compared by the means of semantic definitions and subsumption relations. Similarity is also a convenient method for term comparison but is not supported by terminology servers which implement subsumption relations. We present new terminology services built on a semantic distance that could help for semantic mediation between medical applications ranging from semi-automatic encoders to data mining tools. These services are 1) comparison between terms 2) k-nearest-neighbors 3) support for concept coding 4) automatic generation of similarity tables 5) distance based queries 6) support for clustering.
Bousquet
Cédric
C
INSERM ERM 0202, Faculté de médecine Broussais-Hôtel-Dieu, Paris, France. cbousquet@magic.fr
Jaulent
Marie-Christine
MC
Le Bozec
Christel
C
Degoulet
Patrice
P
D001185:Artificial Intelligence; D005602:France; D020407:Internet; D008491:Medical Informatics Applications; D012660:Semantics; D009626:Terminology as Topic; D014584:User-Computer Interface