"Geospatial and Semantic Mapping Platform for Massive COVID-19 Scientif" by Xinyue Ye, Jiaxin Du et al.
 

Geospatial and Semantic Mapping Platform for Massive COVID-19 Scientific Publication Search

Document Type

Article

Publication Date

6-1-2021

Abstract

Thousands of results of scientific publications on the topic of COVID-19 have emerged within a short time, raising significant challenges for scholars to organize the research, or even synthesize the knowledge in a timely or comprehensive manner. To facilitate this, we have developed a geospatial and semantic mapping platform to search and organize these large and unmapped digital collections. The semantic map visualizes research topics based on customized natural language processing algorithms, which helps users to identify their content of specific interest beyond keyword searches in web search engines. The resultant geospatial map extracts all the location names mentioned in the publications, illustrating where COVID-19 studies have been conducted and where neglected study areas might exist. The system has been deployed as a web service for public access.

Identifier

85104423423 (Scopus)

Publication Title

Journal of Geovisualization and Spatial Analysis

External Full Text Location

https://doi.org/10.1007/s41651-021-00073-y

e-ISSN

25098829

Issue

1

Volume

5

Grant

1739491

Fund Ref

National Science Foundation

This document is currently not available here.

Share

COinS