  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.
