查找目录:从结构良好的数字文本生成分析目录记录

David Mimno, Alison Jones, G. Crane
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引用次数: 4

摘要

图书馆用户经常对目录提出的批评之一是目录很少包括书目级别以下的信息。在目录中搜索特定章节或卷的标题和主题通常是不可能的。在不成倍增加编目员工作量的情况下,没有办法将这些信息添加到编目记录中。与此同时,印刷作品的结构良好的全文XML转录正变得越来越容易获得。本文描述了全文数字化和结构化标记的现有投资如何与当前的命名实体提取技术相结合,有效地生成用户想要的详细目录数据,而不需要显著的额外成本。该系统在珀尔修斯数字图书馆现有的数字馆藏上进行了演示
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding a catalog: generating analytical catalog records from well-structured digital texts
One of the criticisms library users often make of catalogs is that they rarely include information below the bibliographic level. It is generally impossible to search a catalog for the titles and subjects of particular chapters or volumes. There has been no way to add this information to catalog records without exponentially increasing the workload of catalogers. At the same time, well-structured full-text XML transcriptions of printed works are becoming increasingly available. This paper describes how existing investments in full text digitization and structural markup combined with current named-entity extraction technology can efficiently generate the detailed level of catalog data that users want, at no significant additional cost. This system is demonstrated on an existing digital collection within the Perseus Digital Library
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