Text2Onto is an ontology learning framework which has been developed to support the acquisition of ontologies from textual documents. Like its predecessor, TextToOnto, it provides an extensible set of methods for learning atomic classes, class subsumption and instantiation relationships as well as object properties and disjointness axioms.
In NeOn, we developed a Text2Onto plugin for the NeOn Toolkit whose graphical frontend will enable a tighter integration of semi-automatic ontology learning and engineering. The plugin is planned to be released officially in February 2008.