机构知识库作者名自动消歧框架设计与实践  

Disambiguating Author Names Automatically for Institutional Repository

作　　者：张旺强[1] 祝忠明[1] 李雅梅 卢利农[1] 刘巍[1] Zhang Wangqiang;Zhu Zhongming;Li Yamei;Lu Linong;Liu Wei(Lanzhou Information Center,Chinese Academy of Sciences,Lanzhou 730000,China;ShanghaiTech University Library,Shanghai 201210,China)

机构地区：[1]中国科学院兰州文献情报中心,兰州730000 [2]上海科技大学图书信息中心,上海201210

出　　处：《数据分析与知识发现》2019年第6期92-98,共7页Data Analysis and Knowledge Discovery

基　　金：中国科学院文献情报能力建设专项“机构知识库持续运行建设及开放科研知识云”(项目编号:Y8ZG051001)的研究成果之一

摘　　要：【目的】实现对机构知识库作者名消歧的高度自动化处理,并在适当的时机提供人工介入机制。【方法】分析机构知识库作者名消歧的特殊性与消歧特征项,依此构建机构知识库作者名通用消歧框架并实践部署。【结果】该框架在实际应用中取得良好的成效,准确率达到99%以上。【局限】对缺失单位信息的作者名未进行处理;作者别名与机构别名可能存在例外情况。【结论】该框架能够有效地解决机构知识库作者名消歧的难题,在此基础上可构建更多的精准增值服务。[Objective] This paper tries to automatically finish the disambiguation of author names in institutional repositories,and then provide human intervention mechanism at the right time.[Methods] First,we analyzed the unqiue features of the author name disambiguation.Then,we constructed a general disambiguation framework for the institutional repository.[Results] Our framework achieved good results in practice with more than 99% of precision.[Limitations] We did not examine the author names without affiliation addresses,and there may be exceptions in the alias of authors and institutions.[Conclusions] This framework could effectively disambiguate author names in institutional repositories,which helps us provide more value-added services.

关 键 词：机构知识库 人名消歧 作者名消歧 CSpace 

分 类 号：G250.76[文化科学—图书馆学]