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【目的】在机构知识库中保存的作品信息与作者信息之间建立准确的关联关系。【方法】用机器的方式匹配出作品与作者之间可能的关联,将关联信息推送给相关作者进行认领,并保存认领结果。【结果】建立作者别名库,赋予作者本地化的唯一标识,解决因作者姓名变体形式导致的难以建立作者与作品之间准确关联关系的问题。【局限】在作者信息和作品相关信息采集的过程中人工参与的成分较多;整个功能的实现对数据质量的要求也较高。【结论】不仅实现作者信息和相关作品信息之间的准确关联,也为将来更多深层次知识服务的开展提供可靠的数据准备。
【Objective】 To establish an accurate relationship between works information and author information saved in institutional repository. 【Method】 Matching the possible relationship between the work and the author by means of machine, pushing the related information to the relevant author for claim, and saving the result of claiming. 【Result】 The author created an alias database to give the author unique localization of the author and solved the problem that it is difficult to establish an accurate relationship between authors and works due to the author’s name variation. [Limitations] There are more components involved in the process of collecting author information and works related information, and the implementation of the whole function has higher data quality requirements. 【Conclusion】 The paper not only realizes accurate correlation between author information and related works information, but also provides reliable data preparation for further deep knowledge services in the future.