Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analytics that investigate event causes, perception and consequences across country borders. In this paper, we present the Open Event Knowledge Graph (OEKG), a multilingual, event-centric, temporal knowledge graph composed of seven different data sets from multiple application domains, including question answering, entity recommendation and named entity recognition. These data sets are all integrated through an easy-to-use and robust pipeline and by linking to the event-centric knowledge graph EventKG. We describe their common schema and demonstrate the use of the OEKG at the example of three use cases: type-specific image retrieval, hybrid question answering over knowledge graphs and news articles, as well as language-specific event recommendation. The OEKG and its query endpoint are publicly available.

翻译：获取并理解具有全球影响的当代与历史事件（如美国大选、奥运会等），是开展跨语言事件分析（探究事件成因、认知及跨国界影响）的重要前提。本文提出开放事件知识图谱（OEKG）——一个多语言、以事件为中心的时序知识图谱，整合了来自问答、实体推荐及命名实体识别等多个应用领域的七个不同数据集。这些数据集通过易用且稳健的流水线，并链接至以事件为中心的知识图谱EventKG，实现统一集成。我们描述了其共同模式，并以三个用例——基于类型的图像检索、知识图谱与新闻文章的混合问答、以及语言特定的事件推荐——展示了OEKG的应用。OEKG及其查询端点均已公开提供。