弥合作者姓名的差距:为生物医学文献系统建立一个增强的作者姓名数据集
Li Zhang1,2, Ningyuan Song1,2, Sisi Gui3
1Laboratory of Data Intelligence and Interdisciplinary Innovation of Nanjing University, Nanjing, Jiangsu, 210023, China.
概括
一个新的增强作者名 (EAN) 数据集显著增加了 MEDLINE 中的完整作者名,改善了生物医学文献系统. 这一数据集增强了作者姓名搜索和清晰度的准确性.
科学领域:
- 图书统计学 图书统计学
- 信息科学 信息科学 信息科学
- 生物医学信息学 生物医学信息学
背景情况:
- 在MEDLINE中作者名字的不完整性是一个影响生物医学文献系统的持久问题.
- 作者名字不完整,通常只使用首字母,阻碍了研究的准确识别和检索.
研究的目的:
- 为 MEDLINE 开发一个增强的作者名 (EAN) 数据集,以最大限度地增加完整作者名的数量.
- 为了解决生物医学文献中作者姓名不完整的长期问题.
主要方法:
- 通过使用MEDLINE,Microsoft Academic Graph和Semantic Scholar的数据进行大规模名称比较和恢复,构建了EAN数据集.
- 通过将其与MEDLINE的作者名称数据集 (MAN) 进行对作者名称搜索和清晰化任务的比较,评估了EAN的影响.
主要成果:
- EAN将MEDLINE中的完整作者名字从6973万增加到11090万.
- 恢复了缩写名称,特别是在2002年之前的出版物中,并改善了后期文章的全称可用性.
- 与MAN相比,显著提高了作者名字搜索和清晰度性能.
结论:
- 在 MEDLINE 中,EAN 数据集大大减轻了作者姓名不完整的情况.
- 这一进步对开发改进的生物医学文献系统有重大影响.
- EAN数据集是公开可用的,供使用和进一步开发.
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