Abstract
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 [5] of OWL ontologies and RDF data design. © Springer-Verlag 2013.
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CITATION STYLE
Draicchio, F., Gangemi, A., Presutti, V., & Nuzzolese, A. G. (2013). FRED: From natural language text to RDF and OWL in one click. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7955 LNCS, pp. 263–267). https://doi.org/10.1007/978-3-642-41242-4_36
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