ORCID-linked labeled data for evaluating author name disambiguation at scale
ORCID-linked labeled data for evaluating author name disambiguation at scale
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DOI：
10.1007/s11192-020-03826-6
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发表时间：
2021-02-11
期刊：
影响因子：
3.9
通讯作者：
Owen-Smith, Jason
中科院分区：
文献类型：
--
作者：
Kim, Jinseok;Owen-Smith, Jason
我们如何评估在大型书目数据上实施的歧义消解方法的性能？这项研究表明，开放的研究人员档案系统ORCID可以作为一个权威来源来标记大规模的名称实例。这项研究通过评估Author-ity2009(它通过算法消除MEDLINE中作者姓名的歧义)的消歧性能，使用了300万个通过链接到500万个ORCID研究人员个人资料自动标记的姓名实例，展示了这种潜力。结果表明，虽然ORCID关联的标签数据不能有效地代表作者2009年的姓名实例数量，但它们确实有效地反映了作者2009年的高准确率高于高召回率的表现。此外，ORCID链接的标签数据可以提供作者-2009年S在种族类别内和跨种族类别评估姓名实例时的细微差别细节。随着ORCID继续扩展以包括更多的研究人员，通过ORCID链接标记的数据可以在表示整个消除歧义的数据的总体方面得到改进，并定期更新。这对作者姓名歧义消除研究人员和实践者是有益的，他们需要大规模的标记数据，但缺乏用于手动标记或访问其他权威来源以进行基于链接的标记的资源。与ORCID链接的2009年作者标签数据公开可供验证和重复使用。
How can we evaluate the performance of a disambiguation method implemented on big bibliographic data? This study suggests that the open researcher profile system, ORCID, can be used as an authority source to label name instances at scale. This study demonstrates the potential by evaluating the disambiguation performances of Author-ity2009 (which algorithmically disambiguates author names in MEDLINE) using 3 million name instances that are automatically labeled through linkage to 5 million ORCID researcher profiles. Results show that although ORCID-linked labeled data do not effectively represent the population of name instances in Author-ity2009, they do effectively capture the 'high precision over high recall' performances of Author-ity2009. In addition, ORCID-linked labeled data can provide nuanced details about the Author-ity2009's performance when name instances are evaluated within and across ethnicity categories. As ORCID continues to be expanded to include more researchers, labeled data via ORCID-linkage can be improved in representing the population of a whole disambiguated data and updated on a regular basis. This can benefit author name disambiguation researchers and practitioners who need large-scale labeled data but lack resources for manual labeling or access to other authority sources for linkage-based labeling. The ORCID-linked labeled data for Author-ity2009 are publicly available for validation and reuse.