Institution information specification and correlation based on institutional PIDs and IND tool
| Autor: | Yongwen Huang, Jiao Li, Sun Tan, Guojian Xian |
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| Rok vydání: | 2019 |
| Předmět: |
Persistent identifier
Information retrieval Computer science 05 social sciences Name disambiguation General Social Sciences Library and Information Sciences 050905 science studies Computer Science Applications Shared resource Test (assessment) Metadata Correlation Institution (computer science) 0509 other social sciences 050904 information & library sciences Precision and recall |
| Zdroj: | Scientometrics. 122:381-396 |
| ISSN: | 1588-2861 0138-9130 |
| DOI: | 10.1007/s11192-019-03268-9 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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