Voyant Tools and Descriptive Metadata: A Case Study in How Automation Can Compliment Expertise Knowledge

Q2 Social Sciences Journal of Library Metadata Pub Date : 2022-01-31 DOI:10.1080/19386389.2022.2030635
Kate Gregory, Lauren T. Geiger, Preston R. Salisbury
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引用次数: 4

Abstract

Abstract This article examines the use of Voyant Tools, an open-source online application that assists users in the analysis of digital texts through data visualization, by a cataloger, a metadata librarian, and an archivist tasked with creating subject metadata for an archival collection of Congressional correspondence. By sending a digitized, OCR-ed corpus through Voyant Tools’s multiple analytic tools, the information professionals were able to determine and verify what the collection was about and extract a consistent, clean set of keywords to help create metadata and subject headings for the collection. The results generated by this method created deeper knowledge of the collection for the information professionals who steward the collection as well as future researchers of the collection.
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航行工具和描述性元数据:自动化如何补充专业知识的案例研究
本文研究了Voyant Tools的使用情况,这是一个开源在线应用程序,帮助用户通过数据可视化分析数字文本,由编目员、元数据图书管理员和档案管理员负责为国会通信的档案收集创建主题元数据。通过Voyant Tools的多种分析工具发送数字化的OCR-ed语料库,信息专业人员能够确定和验证集合的内容,并提取一致的、干净的关键字集,以帮助创建集合的元数据和主题标题。这种方法产生的结果为管理馆藏的信息专业人员以及未来的馆藏研究人员提供了更深入的馆藏知识。
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来源期刊
Journal of Library Metadata
Journal of Library Metadata Social Sciences-Library and Information Sciences
CiteScore
2.00
自引率
0.00%
发文量
13
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