A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships.

ABSTRACT:

Objective

Large and complex terminologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support terminology quality assurance. In this paper, we introduce an abstraction network derivation methodology which can be applied to SNOMED CT target hierarchies whose classes are defined using only hierarchical relationships (ie, without attribute relationships) and similar description-logic-based terminologies.

Methods

We introduce the tribal abstraction network (TAN), based on the notion of a tribe-a subhierarchy rooted at a child of a hierarchy root, assuming only the existence o

SUBMITTER: Ochs C 

PROVIDER: S-EPMC6283061 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature