Institution information specification and correlation based on institutional PIDs and IND tool

文献类型： 外文期刊

第一作者： Huang, Yongwen

作者： Huang, Yongwen;Li, Jiao;Sun, Tan;Xian, Guojian;Sun, Tan;Xian, Guojian

作者机构：

关键词： Institution information specification and correlation; Institution metadata specification model; Persistent identifier (PID); Institution name disambiguation (IND)

期刊名称：SCIENTOMETRICS （ 影响因子：3.238； 五年影响因子：3.702 ）

ISSN： 0138-9130

年卷期： 2020 年 122 卷 1 期

页码：

收录情况： SCI

摘要： 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.

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