One of the key requirements to facilitate semantic analytics of information regarding contemporary and historical events on the Web, in the news and in social media is the availability of reference knowledge repositories containing comprehensive representations of events and temporal relations. Existing knowledge graphs, with popular examples including DBpedia, YAGO and Wikidata, focus mostly on entity-centric information and are insufficient in terms of their coverage and completeness with respect to events and temporal relations. EventKG presented in this paper is a multilingual event-centric temporal knowledge graph that addresses this gap. EventKG incorporates over 690 thousand contemporary and historical events and over 2.3 million temporal relations extracted from several large-scale knowledge graphs and semi-structured sources and makes them available through a canonical representation.

翻译：便利在网上、新闻和社交媒体上对当代和历史事件的信息进行语义分析的关键要求之一是提供参考知识库,全面介绍各种事件和时间关系,现有知识图,包括DBpedia、YAGO和Wikigata等流行实例,主要侧重于实体中心信息,在事件和时间关系方面,其覆盖面和完整性不足。 本文介绍的事件和时间关系事件KG是一个多语种、以事件为中心的时间知识图,用于弥补这一差距。