Name
Title | ||
|---|---|---|
Increasing Papers' Discoverability with Precise Semantic Labeling: The sci.AI Platform. |
Abstract | ||
|---|---|---|
The number of published findings in biomedicine increases continually. At the same time, specifics of the domainu0027s terminology complicates the task of relevant publications retrieval. In the current research, we investigate influence of termsu0027 variability and ambiguity on a paperu0027s 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. |
Year | Venue | Field |
|---|---|---|
2017 | ELPUB | Discoverability,Information retrieval,Terminology,Computer science,Semantic labeling,Biomedicine,Ambiguity |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oleg Kuryan | 1 | 0 | 0.68 |
| Elena Moroz | 2 | 0 | 0.68 |
| Roman Gurinovich | 3 | 0 | 0.68 |
| Yuri Nikolsky | 4 | 0 | 0.34 |
| Alexander Pashuk | 5 | 0 | 0.68 |
| Alex Dmitrievskij | 6 | 0 | 0.68 |
| Alexei Scerbacov | 7 | 0 | 0.68 |
| Antonia Tiggre | 8 | 0 | 0.68 |
| Yuriy Petrovskiy | 9 | 0 | 0.34 |