Abstract

This paper addresses the potential to employ IFLA Library Reference Model (LRM) and Resource Description and Access (RDA) key entity classes in annotating textual documents of cultural heritage (RunA collection). It describes methods (comparison and analysis) and procedures (identification of entity classes and annotation classes in unstructured data with a special annotation tool) for the evaluation of international data models based on the need to develop a cross-sectoral linked data collection. The article identifies key entities – works, agents (persons, institutions), concepts, places, timespans, and events – for reflecting simple or hierarchical relationships between different objects, which can be used as nodal points for semantic connection and networking in digital collections, including unstructured data sets, e.g., correspondence. The article concludes with a discussion of the challenges of correctly applying LRM’s WEMI structured entities to free-form textual data.

摘要

本文探讨了在注释文化遗产文本文件（RunA）中使用IFLA库参考模型（LRM）和资源描述与访问（RDA）关键实体类的潜力。收藏）。它描述了基于开发跨部门链接数据集合的需要而评估国际数据模型的方法（比较和分析）和过程（使用特殊注释工具识别非结构化数据中的实体类和注释类）。本文确定了关键实体-作品，代理人（人，机构），概念，地点，时间和事件-反映了不同对象之间的简单或层次关系，这些关系可以用作数字馆藏中语义连接和网络的节点，包括非结构化数据集，例如对应关系。本文最后讨论了正确地将LRM的WEMI结构实体应用于自由格式的文本数据所面临的挑战。