FRED is an online tool for converting text into internally well-connected and quality linked-data-ready ontologies in web-service-acceptable time. It implements a novel approach for ontology design from natural language sentences. In this paper we present a demonstration of such tool combining Discourse Representation Theory (DRT), linguistic frame semantics, and Ontology Design Patterns (ODP). The tool is based on Boxer which implements a DRT-compliant deep parser. The logical output of Boxer enriched with semantic data from Verbnet or Framenet frames is transformed into RDF/OWL by means of a mapping model and a set of heuristics following ODP best-practice  of OWL ontologies and RDF data design. © Springer-Verlag 2013.
FRED: From natural language text to RDF and OWL in one click
Contributo in atti di convegno
Springer, Berlin , Germania
ESWC 2013 Satellite Events: The Semantic Web, pp. 263–267, 2013