Institution name disambiguation for research assessment

Shuiqing Huang, Bo Yang (), Sulan Yan and Ronald Rousseau
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Shuiqing Huang: Nanjing Agricultural University
Bo Yang: Nanjing Agricultural University
Sulan Yan: Nanjing Agricultural University
Ronald Rousseau: University of Antwerp (UA)

Scientometrics, 2014, vol. 99, issue 3, No 11, 823-838

Abstract: Abstract Research evaluation is a necessity for management of academic units (scientists, research groups, departments, institutes, universities) and for government decision making in science and technology. Yet, wrong conclusions may be drawn due to errors in assignments of authors to institutions. To improve existing techniques of institution name disambiguation (IND) based on word similarity or editing distance, a rule-based algorithm is proposed in this study. One-to-many relationships between an institution and many variant names under which it is referred to in bylines of publications are recognized with the aid of statistical methods and specific rules. The performance of the rule based IND algorithm is evaluated on large datasets in four fields. These experimental results demonstrate that the precision of the algorithm is high. Yet, recall should be improved.

Keywords: Institution name disambiguation (IND); Rule-based system; Artificial intelligence; Informetrics (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s11192-013-1214-2

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