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News agencies produce thousands of multimedia stories describing eventshappening in the world that are either scheduled such as sports competitions,political summits and elections, or breaking events such as military conflicts,terrorist attacks, natural disasters, etc. When writing up those stories,journalists refer to contextual background and to compare with past similarevents. However, searching for precise facts described in stories is hard. Inthis paper, we propose a general method that leverages the Wikidata knowledgebase to produce semantic annotations of news articles. Next, we describe asemantic search engine that supports both keyword based search in news articlesand structured data search providing filters for properties belonging tospecific event schemas that are automatically inferred.

Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata