Using the Abstraction Network in complement to description logics for quality assurance in biomedical terminologies - A case study in SNOMED CT

Document Type

Conference Proceeding

Publication Date

1-1-2010

Abstract

Objectives: To investigate errors identified in SNOMED CT by human reviewers with help from the Abstraction Network methodology and examine why they had escaped detection by the Description Logic (DL) classifier. Case study; Two examples of errors are presented in detail (one missing IS-A relation and one duplicate concept). After correction, SNOMED CT is reclassified to ensure that no new inconsistency was introduced. Conclusions: DL-based auditing techniques built in terminology development environments ensure the logical consistency of the terminology. However, complementary approaches are needed for identifying and addressing other types of errors. © 2010 IMIA and SAHIA. All rights reserved.

Identifier

78649519702 (Scopus)

ISBN

[9781607505877]

Publication Title

Studies in Health Technology and Informatics

External Full Text Location

https://doi.org/10.3233/978-1-60750-588-4-1070

e-ISSN

18798365

ISSN

09269630

First Page

1070

Last Page

1074

Issue

PART 1

Volume

160

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