Extracting, logically representing, and connecting elements from a sentence is crucial to create semantic applications that are event-aware. In addition, it's important to disambiguate as much as possible the entities and concepts expressed, in order to make the extracted model linked, and to exploit the full power of the Semantic Web and Linked Data. FRED is a tool to automatically transform knowledge extracted from text into RDF and OWL, i.e. it is a machine reader for the Semantic Web. It is event-centric, therefore it natively supports event extraction. In a recent landscape analysis of knowledge extraction tools.