The need for a disaster-related event monitoring system has arisen due to the societal and economic impact caused by the increasing number of severe disaster events. An event monitoring system should be able to extract event-related information from texts, and discriminates event instances. We demonstrate our open-source event monitoring system, namely, Master of Disaster (MoD), which receives news streams, extracts event information, links extracted information to a knowledge graph (KG), in this case Wikidata, and discriminates event instances visually. The goal of event visualization is to group event mentions referring to the same real-world event instance so that event instance discrimination can be achieved by visual screening.

翻译：由于严重灾害事件数量的增加对社会和经济造成了巨大影响，灾害事件监测系统的需求日益凸显。事件监测系统需具备从文本中提取事件相关信息并区分事件实例的能力。本文展示了我们开源的灾难事件监测系统——Master of Disaster (MoD)，该系统能够接收新闻流，提取事件信息，将提取的信息链接至知识图谱（以维基数据为例），并通过可视化方式区分事件实例。事件可视化的目标是将指向同一真实世界事件实例的事件提及进行分组，从而通过视觉筛选实现事件实例的区分。