Automatically converting and enriching a computational lexicon Ontology for NLP semantic tasks

Abstract

This paper describes the automatic transformation of a Generative Lexicon (GL) based Ontology into OWL, the Semantic Web ontology language. Furthermore, the OWL ontology is automatically enriched by means of a bottom-up procedure that extracts additional semantic information (relationships, features, predicates and quantifier restrictions) from the lexicon. The contribution of this research is two-fold. On one hand, we introduce a methodology for the formalisation of GL ontologies. On the other, we have developed automatic procedures that bring out a formalised, reasoning-capable, and semantically rich ontology, thus suitable for Natural Language Processing semantic tasks.