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International Journal of Medical Informatics
Volume 77, Issue 5
, Pages
336-345
, May 2008
Auditing description-logic-based medical terminological systems by detecting equivalent concept definitions
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Concept definitions exemplifying the use of primitive and non-primitive definitions. Primitive definitions are indicated by use of the
symbol, non-primitive definitions by
. The
symbol states logicaConcept definitions exemplifying the use of primitive and non-primitive definitions. Primitive definitions are indicated by use of the
symbol, non-primitive definitions by
. The
symbol states logical conjunction (i.e. “AND”), the
symbol (“SOME”) preceding a role specifies existence of a relation with the role-filler. -
Stated and inferred classification of the concepts defined in Fig. 1. Stated classification is indicated by a solid arrow, inferred classification by a dashed arrow. Concepts are represented as boxes,Stated and inferred classification of the concepts defined in Fig. 1. Stated classification is indicated by a solid arrow, inferred classification by a dashed arrow. Concepts are represented as boxes, non-primitive concepts having straight corners, and primitive concepts having rounded corners. On the right-hand side, this model is presented using Protégé [32], a knowledge modeling environment commonly used for (medical) terminological systems.
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Example of application of the method to concepts in a “disease” category. On the left-hand side, the original representation is shown. The right-hand side shows the resulting representation, where theExample of application of the method to concepts in a “disease” category. On the left-hand side, the original representation is shown. The right-hand side shows the resulting representation, where the defining characteristics, which remain unchanged, are indicated by “…”. In the middle, the steps that involve this result are given.
PII: S1386-5056(07)00123-2
doi: 10.1016/j.ijmedinf.2007.06.008
© 2007 Elsevier Ireland Ltd. All rights reserved.
« Previous
Next »
International Journal of Medical Informatics
Volume 77, Issue 5
, Pages
336-345
, May 2008




