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作 者:郝嘉树[1]
机构地区:[1]国家图书馆,北京100081
出 处:《图书馆建设》2016年第2期53-57,共5页Library Development
摘 要:我国采用自上而下、人工操作和封闭的模式影响名称规范的维护能力、效率及规范控制效果。基于著者交互的自规范、自动人名消歧和开放关联数据的个人名称规范维护方法,借鉴了文献数据库系统中的著者唯一标识、机器学习领域的自动身份辨识和有效信息源获取,可改变我国个人名称规范数量少、覆盖范围受限和数据质量不高的现状,解决当前名称规范模式维护能力差、效率低下和无法与外界互操作等问题,真正发挥出名称规范控制应有的功能及效果。Top-down, artificial and closed maintenance mode in our country have seriously affected the name authority maintenance's ability and efficiency, and also affected the effect of authority control. Personal name authority maintenance methods of self-authority based on author interaction, automatic author name disambiguation and open linked data draw the lessons from the contributor identifier in the document database system, automatic authorship identification of machine learning domain and effective information source acquisition, change the status of less quantity, limited coverage and low quality of data in China, resolve the problems of name authority maintenance mode, such as poor maintenance capacity, low efficiency and unable to operate with the outside world, which developing function and effect of the name authority control.
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