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1. Increasing papers' discoverability with precise semantic labeling: The sci.AI publishing platform.

Author

Gurinovich, Roman, Pashuk, Alexander, Petrovskiy, Yuriy, Dmitrievskij, Alex, Kuryan, Oleg, Scerbacov, Alexei, Tiggre, Antonia, Moroz, Elena, Buinitskaya, Yuliya, and Nikolsky, Yuri

Subjects
*MEDICAL publishing, *DATA mining, *INFORMATION retrieval, *SEMANTICS, *SEARCH engines
Abstract

The number of published findings in biomedicine increases continually. At the same time, specifics of the domain's terminology complicates the task of relevant publications retrieval. In the current research, we investigate influence of terms' variability and ambiguity on a paper's likelihood of being retrieved. We obtained statistics that demonstrate significance of the issue and its challenges, followed by presenting the sci.AI platform, which allows precise terms labeling as a resolution. [ABSTRACT FROM AUTHOR]

Published
2017
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