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An Assistant to Populate Repositories: Gathering Educational Digital Objects and Metadata Extraction

机译:填充存储库的助手:收集教育性数字对象和元数据提取

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摘要

This paper presents an assistant to populate institutional repositories. This tool can detect all educational digital objects in a text format that are already published on institutional Websites and can be uploaded to a repository. This recopilation is a tedious task and is usually performed manually. In this paper, we propose a system architecture for automating this task of collecting text documents within a restricted domain in order to detect plausible documents that can be loaded into a repository. In addition, its metadata, such as language, category, title, authors, and their contact data, is automatically extracted. A prototype of this system was developed, and case studies in two different domains are analyzed.
机译:本文提出了一个用于填充机构存储库的助手。该工具可以检测所有已经发布在机构网站上并可以上传到资源库的文本格式的教育数字对象。重新编译是一项繁琐的任务,通常是手动执行的。在本文中,我们提出了一种系统架构,用于自动执行在受限域内收集文本文档的任务,以检测可以加载到存储库中的合理文档。此外,还会自动提取其元数据,例如语言,类别,标题,作者及其联系方式。开发了该系统的原型,并分析了两个不同领域的案例研究。

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