Work

Using the abstraction network in complement to description logics for quality assurance in biomedical terminologies - a case study in SNOMED CT.

Year: 2010

Type: article

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.

Source: PubMed

Authors: Duo Wei, Olivier Bodenreider

Institution: New Jersey Institute of Technology

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funder: U.S. National Library of Medicine

Award: Taxonomies Supporting Orientation, Navigation and Auditing of Terminologies

OpenAlex ID: W2125283448

FWCI: 1.063

Cites: 12

Cited by: 26

Related to: 20