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Such support could be useful for mapping between the ChEBI and the UMLS source vocabularies.
It is better suited for mapping between ChEBI and UMLS source vocabularies.
The UMLS is organized according to one view of synonymy, but its structure also represents all the individual views of synonymy present in its source vocabularies.
A UMLS chemical concept drawn from several source vocabularies may very well be assigned various STs by different UMLS editors not necessarily at the same time.
In an effort to improve precision, the authors have developed a context-sensitive document indexing model to calculate the optimal subset of UMLS source vocabularies used to index each document section.
In contrast, the CSSN provides an abstraction network with categories such as "Organic Chemical" and "Hazardous or Poisonous Organic Chemical", which fit for mapping the ChEBI ontology to UMLS source vocabularies.
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With this relation, w s captures the correspondence with the source vocabulary and w t with the target.
A CSSN could also be applied during the mapping or alignment between a UMLS source vocabulary and another source of chemical concepts.
The categorization of these compounds into CSSN types has potential application for mapping data sources especially if one of the sources is a UMLS source vocabulary.
The process of integrating a source vocabulary into UMLS involves identifying the source-vocabulary concepts that correspond to existing UMLS concepts.
Since MedDRA is a source vocabulary for the UMLS, the mapping is straightforward and reversible.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com