An Analysis of Main Solutions for the Automatic Construction of Ontologies from Text

Abstract

Ontologies are increasingly used by modern knowledge systems for representing and sharing knowledge. Supporting semantic processing, ontology-driven knowledge systems allow for more precise information interpretation, thus providing greater usability and effectiveness than traditional information systems. Manual construction of ontologies by domain experts and knowledge engineers is a costly task, therefore automatic and/or semi-automatic approaches to their development are needed, a field of research that is usually referred to as ontology learning and population. This is the main focus of this article which discusses main problems and corresponding solutions for the automated acquisition of each one of the components of an ontology (classes, properties, taxonomic and non-taxonomic relationships, axioms and instances).