Title
Institution information specification and correlation based on institutional PIDs and IND tool
Abstract
Institution information specification and correlation is a necessity for research evaluation and resource sharing, current attempts are mainly focused on institution name disambiguation (IND) based on institution name, address, author, et al., and lack of a unified and universal indicator. To enhance the correlation of institution information, institutional persistent identifier (PID) is introduced in this study, together with a redesigned tool based on existing techniques of IND. And an institution metadata specification model is built for data preprocess by inheriting some authoritative metadata standards. Further, a visual platform is implemented to demonstrate the correlated institution information and supports institution query. The performance of the proposed approach is evaluated on large datasets of three countries, and the test results demonstrate that the precision and recall are high.
Year
DOI
Venue
2020
10.1007/s11192-019-03268-9
Scientometrics
Keywords
Field
DocType
Institution information specification and correlation, Institution metadata specification model, Persistent identifier (PID), Institution name disambiguation (IND)
Data mining,Metadata,Information retrieval,Computer science,Precision and recall,Correlation,Persistent identifier,Shared resource,Name disambiguation
Journal
Volume
Issue
ISSN
122
1
0138-9130
Citations 
PageRank 
References 
1
0.36
0
Authors
4
Name
Order
Citations
PageRank
Yongwen Huang110.36
Jiao Li210.36
Tan Sun310.36
Guojian Xian410.36