构建德国网页双维度分类平台，兼顾主题与地理信息
The WebKurator.de Platform: Combined Regional and Topical Web Curation
- 采用主题与地理分离的二维分类模型
- 基于554万网站数据，85.17%地理定位在德国
- 支持用户建议与审核，适合数字保存机构使用
国家图书馆等记忆机构面临系统化网络内容保存的挑战。现有目录式方法（如Curlie）以主题为中心，地理信息与主题、语言混杂。为此，我们推出WebKurator.de平台，面向德国网络内容，实现主题与地理的双重精准标注。该平台采用二维分类模型，分离主题分类与地理标注，并融合大语言模型主题识别、印鉴页地址提取与地理编码技术，支持用户提交建议并经审核后加入。平台基于德国印鉴数据集启动，包含554万网站，其中314万有印鉴页，成功提取并地理编码了这些地址。上述数据中258万（占85.17%）位于德国且已标注主题，构成初始数据基础，未来可通过用户持续补充。
原文摘要 · Abstract (English)
The systematic curation of the Web remains a central challenge for national libraries and memory institutions that aim to preserve culturally and regionally relevant content. Existing directory-based approaches such as Curlie implement a predominantly topic-centric, one-dimensional hierarchy, where geographic aspects are intertwined with topical and linguistic categories. To address this limitation, we present WebKurator.de, a collaborative platform for combined regional and topical web curation, initially focused on the German web. WebKurator introduces a two-dimensional curation model that explicitly separates topical categorization and geographic annotation. The system integrates LLM-based topic classification and imprint-based address extraction with geocoding, and supports user suggestions together with moderated review. The platform is bootstrapped from the German Imprints Dataset, a large-scale collection of 5.54 million websites. Among them, 3.14 million contain imprint pages, for which we successfully extracted and geocoded postal addresses. Of these, 2.58 million (85.17%) are located in Germany and also have an assigned topic label. These websites form the initial foundation of WebKurator.de and can be continuously extended through user suggestions.
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