A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization

作者：

Highlights：

• We designed a structure-based algorithmic method to support semantic harmonization.

• We defined a set of topological patterns across pairs of terminologies that are of different density.

• We explored how these topological patterns appear for a subset of UMLS terminologies, focusing on SNOMED CT.

• A human expert evaluated the method with a random sample generated by the algorithm.

摘要

•We designed a structure-based algorithmic method to support semantic harmonization.•We defined a set of topological patterns across pairs of terminologies that are of different density.•We explored how these topological patterns appear for a subset of UMLS terminologies, focusing on SNOMED CT.•A human expert evaluated the method with a random sample generated by the algorithm.

论文关键词：Biomedical terminology,Semantic interoperability,Semantic harmonization,Structural methodology,SNOMED CT,UMLS

论文评审过程：Received 9 May 2014, Revised 20 March 2015, Accepted 25 March 2015, Available online 2 April 2015, Version of Record 31 May 2015.

论文官网地址：https://doi.org/10.1016/j.artmed.2015.03.002