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New Technology of Library and Information Service  2015, Vol. 31 Issue (6): 57-63    DOI: 10.11925/infotech.1003-3513.2015.06.09
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Research on Rule-based Normalization of Institution Name
Yang Bo, Yang Junwei, Yan Sulan
College of Information Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
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Abstract  

[Objective] To improve the data reliability in large-scale academic assessment and the performance of word-similarity or frequency based techniques in institution name normalization. [Methods] A new rule-based algorithm aided with low-value word similarity is proposed and a series of rules and statistical methods are applied jointly to mapping multiple institution names onto one entity of institution, so as to make institution name normalized. [Results] The experimental results show that the F-value of the rule-based algorithm (55.50%) is higher than the other two strategies. [Limitations] The ability to identify institution names with low value of word similarity is not good enough. [Conclusions] The rule-based algorithm proposed performs better than the other two techniques comprehensively, while the recall value needs to be improved.

Key wordsNormalization of institution name      Author name disambiguation      Clustering of institution name      Academic assessment     
Received: 21 November 2014      Published: 08 July 2015
:  G312  

Cite this article:

Yang Bo, Yang Junwei, Yan Sulan. Research on Rule-based Normalization of Institution Name. New Technology of Library and Information Service, 2015, 31(6): 57-63.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2015.06.09     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2015/V31/I6/57

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