Population Group 2.0: Bringing the UMLS Semantic Network up to Speed

The Unified Medical Language System (UMLS) Metathesaurus is arguably the most comprehensive repository of biomedical terminologies. The UMLS Semantic Network in orders of magnitude is smaller than the Metathesaurus and contains 127 Semantic Types. One of those is "Population Group" - a Semantic Type that encompasses concepts related to various demographics and social groups. However, with the evolution of societal dynamics, the current classifications seem to have become insufficient for distinctively capturing the semantics of the contemporary societal structures. In this paper, we propose a re-evaluation and expansion of the "Population Group" Semantic Type to better accommodate these societal realities. With the introduction of the suggested new Semantic Types, we aim to facilitate more precise healthcare data management, research, and policy making.

Authors

Institutions

Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250627
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Population Group 2.0: Bringing the UMLS Semantic Network up to Speed

James Geller, Naren Khatwani
Studies in health technology and informatics
Semantic Web and Ontologies
article

Population Group 2.0: Bringing the UMLS Semantic Network up to Speed

James Geller, Naren Khatwani
article en

Abstract

The Unified Medical Language System (UMLS) Metathesaurus is arguably the most comprehensive repository of biomedical terminologies. The UMLS Semantic Network in orders of magnitude is smaller than the Metathesaurus and contains 127 Semantic Types. One of those is "Population Group" - a Semantic Type that encompasses concepts related to various demographics and social groups. However, with the evolution of societal dynamics, the current classifications seem to have become insufficient for distinctively capturing the semantics of the contemporary societal structures. In this paper, we propose a re-evaluation and expansion of the "Population Group" Semantic Type to better accommodate these societal realities. With the introduction of the suggested new Semantic Types, we aim to facilitate more precise healthcare data management, research, and policy making.

Studies in health technology and informaticsVol. 327
New Jersey Institute of Technology (US)
Openalex Percentile: Top 81%
Semantic Web and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.