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Biomedical Terminology Mapper for UML projects

As the biomedical community collects and generates more and more data, the need to describe these datasets for exchange and interoperability becomes crucial. This paper presents a mapping algorithm that can help developers expose local implementations described with UML through standard terminologie...

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Detalles Bibliográficos
Autores principales: Thibault, Julien C., Frey, Lewis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 201
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845744/
https://www.ncbi.nlm.nih.gov/pubmed/24303278
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author Thibault, Julien C.
Frey, Lewis
author_facet Thibault, Julien C.
Frey, Lewis
author_sort Thibault, Julien C.
collection PubMed
description As the biomedical community collects and generates more and more data, the need to describe these datasets for exchange and interoperability becomes crucial. This paper presents a mapping algorithm that can help developers expose local implementations described with UML through standard terminologies. The input UML class or attribute name is first normalized and tokenized, then lookups in a UMLS-based dictionary are performed. For the evaluation of the algorithm 142 UML projects were extracted from caGrid and automatically mapped to National Cancer Institute (NCI) terminology concepts. Resulting mappings at the UML class and attribute levels were compared to the manually curated annotations provided in caGrid. Results are promising and show that this type of algorithm could speed-up the tedious process of mapping local implementations to standard biomedical terminologies.
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spelling pubmed-38457442013-12-03 Biomedical Terminology Mapper for UML projects Thibault, Julien C. Frey, Lewis AMIA Jt Summits Transl Sci Proc Articles As the biomedical community collects and generates more and more data, the need to describe these datasets for exchange and interoperability becomes crucial. This paper presents a mapping algorithm that can help developers expose local implementations described with UML through standard terminologies. The input UML class or attribute name is first normalized and tokenized, then lookups in a UMLS-based dictionary are performed. For the evaluation of the algorithm 142 UML projects were extracted from caGrid and automatically mapped to National Cancer Institute (NCI) terminology concepts. Resulting mappings at the UML class and attribute levels were compared to the manually curated annotations provided in caGrid. Results are promising and show that this type of algorithm could speed-up the tedious process of mapping local implementations to standard biomedical terminologies. American Medical Informatics Association 2013 -03- 18 /pmc/articles/PMC3845744/ /pubmed/24303278 Text en ©2013 AMIA - All rights reserved.
spellingShingle Articles
Thibault, Julien C.
Frey, Lewis
Biomedical Terminology Mapper for UML projects
title Biomedical Terminology Mapper for UML projects
title_full Biomedical Terminology Mapper for UML projects
title_fullStr Biomedical Terminology Mapper for UML projects
title_full_unstemmed Biomedical Terminology Mapper for UML projects
title_short Biomedical Terminology Mapper for UML projects
title_sort biomedical terminology mapper for uml projects
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845744/
https://www.ncbi.nlm.nih.gov/pubmed/24303278
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