Wikidata is one of the largest public general-purpose Knowledge Bases (KBs). Yet, due to its collaborative nature, its schema and taxonomy have become convoluted. For the YAGO 4 KB, we combined Wikidata with the ontology from Schema.org, which reduced and cleaned up the taxonomy and constraints and made it possible to run automated reasoners on the data. However, it also cut away large parts of the Wikidata taxonomy. In this paper, we present our effort to merge the entire Wikidata taxonomy into the YAGO KB as much as possible. We pay particular attention to logical constraints and a careful distinction of classes and instances. Our work creates YAGO 4.5, which adds a rich layer of informative classes to YAGO, while at the same time keeping the KB logically consistent.

翻译：Wikidata是最大的公共通用知识库（KB）之一。然而，由于其协作特性，其模式和分类体系变得复杂。在构建YAGO 4知识库时，我们将Wikidata与Schema.org的本体相结合，精简并清理了分类体系与约束条件，使自动推理机能够运行于该数据之上。但这也导致Wikidata分类体系的大部分内容被裁剪。本文介绍了我们尽可能将整个Wikidata分类体系融入YAGO知识库的努力。我们特别关注逻辑约束以及类与实例的审慎区分。本工作创建了YAGO 4.5，为YAGO增添了丰富的信息类层次，同时保持了知识库的逻辑一致性。