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Name Authority Challenges for Indexing and Abstracting Databases

机译：命名机构对索引和抽象数据库的挑战

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Objective - This analysis explores alternative methods for managing author name changes in Indexing and Abstracting (I&A) databases. A searcher may retrieve incomplete or inaccurate results when the database provides no or faulty assistance in linking author name variations. Methods -The article includes an analysis of current name authority practices in I&A databases and of selected research into name disambiguation models applied to authorship of articles. Results - Several potential solutions are in production or in development. MathSciNet has developed an authority file. The method is largely machine-based but it involves time-consuming manual intervention that might not scale up to larger or multidisciplinary databases. The use of standard numbers for authors has been proposed. Solutions in practice include author-managed registration records and linking among several authority files. Information science and computer science researchers are developing models to automate processes for name disambiguation, shifting the focus from authority control to access control. Successful models use metadata beyond the author name alone, such as co-authors, author affiliation, journal name, or keywords. Social networks may provide additional data to support disambiguation models. Conclusion - The traditional objective of name authority files is to determine precisely when name variations belong to the same individual. Manually-maintained authority files have served library catalogues reasonably well, but the burden of upkeep has made them ill-suited to managing the volume of items and authors in all but the smallest I&A databases. To meet the access needs of the 21st Century, both catalogues and I&A databases may need to implement options that present a high degree of probability that items have been authored by the same individual, rather than options that provide high precision with the expense of manual maintenance. Striving for name disambiguation rather than name authority control may become an attractive option for catalogues, I&A databases, and digital library collections.
机译：目标-此分析探讨了管理索引和摘要（I＆A）数据库中作者姓名更改的替代方法。当数据库在链接作者姓名变体方面没有提供任何帮助或提供错误帮助时，搜索者可能会检索到不完整或不准确的结果。方法-本文包括对I＆A数据库中当前名称授权实践的分析，以及对应用于文章作者的名称消歧模型的部分研究。结果-几种潜在的解决方案正在生产或开发中。 MathSciNet已开发了一个授权文件。该方法主要是基于机器的，但是它涉及耗时的手动干预，可能无法扩展到更大或跨学科的数据库。已经提出使用标准编号供作者使用。实际上，解决方案包括作者管理的注册记录以及多个授权文件之间的链接。信息科学和计算机科学研究人员正在开发模型以自动进行名称歧义消除，从而将重点从权限控制转移到访问控制。成功的模型仅使用作者姓名以外的其他元数据，例如共同作者，作者隶属关系，期刊名称或关键字。社交网络可以提供其他数据来支持消歧模型。结论-名称授权文件的传统目标是精确确定名称变体何时属于同一个人。手动维护的授权文件可以很好地为图书馆目录服务，但是维护的负担使它们不适合管理除最小的I＆A数据库之外的所有项目和作者的数量。为了满足21世纪的访问需求，目录和I＆A数据库都可能需要实施选项，以使项目由同一个人创作的可能性很高，而不是通过手动维护来提供高精度的选项。对于目录，I＆A数据库和数字图书馆馆藏而言，争取名称歧义而不是名称权限控制可能成为有吸引力的选择。

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