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19 pages, 2643 KB  
Article
Tracking Knowledge Evolution Based on the Terminology Dynamics in 4P-Medicine
by Aida Khakimova, Xuejie Yang, Oleg Zolotarev, Maria Berberova and Michael Charnine
Int. J. Environ. Res. Public Health 2020, 17(20), 7444; https://doi.org/10.3390/ijerph17207444 - 13 Oct 2020
Cited by 9 | Viewed by 3044
Abstract
The accelerating evolution of scientific terms connected with 4P-medicine terminology and a need to track this process has led to the development of new methods of analysis and visualization of unstructured information. We built a collection of terms especially extracted from the PubMed [...] Read more.
The accelerating evolution of scientific terms connected with 4P-medicine terminology and a need to track this process has led to the development of new methods of analysis and visualization of unstructured information. We built a collection of terms especially extracted from the PubMed database. Statistical analysis showed the temporal dynamics of the formation of derivatives and significant collocations of medical terms. We proposed special linguistic constructs such as megatokens for combining cross-lingual terms into a common semantic field. To build a cyberspace of terms, we used modern visualization technologies. The proposed approaches can help solve the problem of structuring multilingual heterogeneous information. The purpose of the article is to identify trends in the development of terminology in 4P-medicine. Full article
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