Increasing papers’ discoverability with precise semantic labeling: The sci.AI publishing platform | Zendy

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

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Roman Gurinovich,

Alexander Pashuk,

Yuriy Petrovskiy,

Alex Dmitrievskij,

Oleg Kuryan,

Alexei Scerbacov,

Antonia Tiggre,

Elena Moroz,

Yuliya Buinitskaya,

Yuri Nikolsky

Publication year - 2018

Publication title -

information services and use

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.304

H-Index - 19

eISSN - 1875-8789

pISSN - 0167-5265

DOI - 10.3233/isu-170858

Subject(s) - discoverability , computer science , information retrieval , publishing , world wide web , library science , political science , law

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research