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Sculpting the UMLS Refined Semantic Network.

Zhe He1, C Paul Morrey2, Yehoshua Perl3

  • 1Department of Biomedical Informatics, Columbia University, New York, NY, USA.

Online Journal of Public Health Informatics
|November 26, 2014
PubMed
Summary

The Refined Semantic Network (RSN) was significantly reduced in size by correcting errors in the Unified Medical Language System (UMLS). This refinement makes the RSN more compact and useful for health informatics.

Keywords:
Abstraction NetworkCorrection of InconsistenciesIntersection Semantic TypesRefined Semantic NetworkRefined Semantic TypesSemantic NetworkUMLS

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Area of Science:

  • Medical Informatics
  • Ontology Engineering
  • Knowledge Representation

Background:

  • The Refined Semantic Network (RSN) was developed to complement the UMLS Semantic Network (SN).
  • Initial RSN was too large, hindering its practical application.
  • Intersection Semantic Types (ISTs) were identified as a major contributor to the RSN's size and complexity.

Purpose of the Study:

  • To longitudinally study and reduce the size of the RSN, making it more compact.
  • To correct inconsistencies and errors in UMLS Intersection Semantic Type (IST) assignments.
  • To identify and rectify ambiguities and errors in public health terminologies.

Main Methods:

  • A longitudinal study involving the correction of UMLS IST assignments.
  • Sculpting the RSN by removing redundant assignments and illegitimate ISTs.
  • Auditing small ISTs in the 2013AA version of the UMLS to finalize the process.

Main Results:

  • The RSN was successfully transformed into a compact network comparable in magnitude to the UMLS SN.
  • The number of ISTs was reduced to 336.
  • Auditing revealed and facilitated correction of modeling errors in source terminologies like SNOMED CT, LOINC, and RxNORM.

Conclusions:

  • The corrected RSN, when used with the SN, can prevent inconsistent semantic type assignments in the UMLS.
  • This refinement aids in exposing hidden errors within health informatics terminologies.
  • The RSN development fulfills the original vision for a more refined UMLS Semantic Network.