publication . Article . Other literature type . 2009

Structural group-based auditing of missing hierarchical relationships in UMLS

Yan Chen; Huanying Gu; Yehoshua Perl; James Geller;
Open Access
  • Published: 01 Jun 2009 Journal: Journal of Biomedical Informatics, volume 42, issue 3, pages 452-467 (issn: 1532-0464, Copyright policy)
  • Publisher: Elsevier BV
  • Country: China (People's Republic of)
Abstract
The Metathesaurus of the UMLS was created by integrating various source terminologies. The inter-concept relationships were either integrated into the UMLS from the source terminologies or specially generated. Due to the extensive size and inherent complexity of the Metathesaurus, the accidental omission of some hierarchical relationships was inevitable. We present a recursive procedure which allows a human expert, with the support of an algorithm, to locate missing hierarchical relationships. The procedure starts with a group of concepts with exactly the same (correct) semantic type assignments. It then partitions the concepts, based on child-of hierarchical relationships, into smaller, singly rooted, hierarchically connected subgroups. The auditor only needs to focus on the subgroups with very few concepts and their concepts with semantic type reassignments. The procedure was evaluated by comparing it with a comprehensive manual audit and it exhibits a perfect error recall. © 2008 Elsevier Inc. All rights reserved.
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Persistent Identifiers

doi: 10.1016/j.jbi.2008.08.006

pmc: PMC2714188

pmid: 18824248

Subjects
free text keywords: Health Informatics, Computer Science Applications, UMLS, Partition, Semantic type assignment, Auditing, Semantic refinement, Refined semantic network, Hierarchical relationships, Refined semantic type, References (50) View In Table Layout, Article, Unified Medical Language System, Group based, Recall, Computer science, Partition (database), Focus (linguistics), Audit, Group (mathematics), Semantic computing, Natural language processing, computer.software_genre, computer, Artificial intelligence, business.industry, business
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