Abstract
We have implemented a novel approach for robust ontology design from natural language texts by combining Discourse Representation Theory (DRT), linguistic frame semantics, and ontology design patterns. We show that DRT-based frame detection is feasible by conducting a comparative evaluation of our approach and existing tools. Furthermore, we define a mapping between DRT and RDF/OWL for the production of quality linked data and ontologies, and present FRED, an online tool for converting text into internally well-connected and linked-data-ready ontologies in web-service-acceptable time. © 2012 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Presutti, V., Draicchio, F., & Gangemi, A. (2012). Knowledge extraction based on discourse representation theory and linguistic frames. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7603 LNAI, pp. 114–129). https://doi.org/10.1007/978-3-642-33876-2_12
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
