This paper presents the extension of a tool to automatically build OWL ontologies from texts expressed in natural language. The implemented processing chain takes unconstrained statements as a starting point and results in a logical structure encoding the extracted knowledge. There are two main phases: (1) RDF serialisation of AMR graphs exploited as pivotal representations, and (2) extraction of logical content through the analysis of the intermediate structures. The implementation is based on Semantic Web standards.