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现代图书情报技术  2012, Vol. 28 Issue (5): 55-59    DOI: 10.11925/infotech.1003-3513.2012.05.08
  知识组织与知识管理 本期目录 | 过刊浏览 | 高级检索 |
一种面向篇级数据的作者名消歧规则和算法
肖晶, 梁冰, 张晓丹, 吕世炅
中国科学技术信息研究所 北京 100038
Author Disambiguation Rules and Algorithm for Article Level Data
Xiao Jing, Liang Bing, Zhang Xiaodan, Lv Shijiong
Institute of Scientific & Technical Information of China, Beijing 100038, China
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摘要 在深入分析NSTL篇级元数据特点的基础上,结合模糊匹配算法,提出一种适合NSTL现有数据的人名消歧规则集,并给出基于该规则集的人名消歧算法。通过对实际数据集的实验,该算法在准确率、召回率等指标方面都有良好的表现,具备较好的消歧效果。
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肖晶
梁冰
张晓丹
吕世炅
关键词 作者名消歧模糊匹配篇级数据消歧算法    
Abstract:This paper analyzes the article level data in NSTL, then presents a rule set for name disambiguation combining with fuzzy matching algorithm, and provides the relevant name disambiguation algorithm. Through the experiment based on the actual data set, it is found that the algorithm gives a good precision and recall value, which is a good effect for name disambiguation.
Key wordsAuthor disambiguation    Fuzzy matching    Article level data    Disambiguation algorithm
收稿日期: 2012-04-05     
: 

TP391

 
基金资助:

本文系“十二五”国家科技支撑计划项目“信息资源自动处理、智能检索与STKOS应用服务集成”(项目编号:2011BHA10B05)的研究成果之一。

引用本文:   
肖晶, 梁冰, 张晓丹, 吕世炅. 一种面向篇级数据的作者名消歧规则和算法[J]. 现代图书情报技术, 2012, 28(5): 55-59.
Xiao Jing, Liang Bing, Zhang Xiaodan, Lv Shijiong. Author Disambiguation Rules and Algorithm for Article Level Data. New Technology of Library and Information Service, DOI:10.11925/infotech.1003-3513.2012.05.08.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2012.05.08
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