Abstract
Subject indexing is vital for discovery but hard to sustain at scale and across languages. We release a large bilingual (English/German) corpus of catalog records annotated with the Integrated Authority File (GND), plus a machine-actionable GND taxonomy. The resource enables ontology-aware multi-label classification, mapping text to authority terms, and agent-assisted cataloging with reproducible, authority-grounded evaluation. We provide a brief statistical profile and qualitative error analyses of three systems. We invite the community to assess not only accuracy but usefulness and transparency, toward authority-anchored AI co-pilots that amplify catalogers' work.
Abstract (translated)
主题索引对于发现至关重要，但在大规模和跨语言环境中维护却颇具挑战。我们发布了一个大型的双语（英语/德语）目录记录语料库，并且这些记录使用综合权威文件（GND）进行了注释，同时还提供了一个机器可操作的GND分类学。该资源支持基于本体的知识多标签分类、文本到权威术语的映射以及代理辅助编目的工作，具备可重复性和以权威为基础的评估能力。我们提供了三个系统的简要统计概况和定性错误分析。我们邀请社区不仅从准确性方面，还从实用性及透明度方面对这些系统进行评价，以便共同开发出锚定于权威、能够增强目录员工作的AI辅助工具。
URL
https://arxiv.org/abs/2603.10876
