Metamodel of ontology learning from text

Abstract

Ontologies play a pervasive role in many areas of IT. Over the last decade a substantial number of ontologies have been developed. However, while looking for a specific ontology it is difficult to find the right one because of the problems of the ontology unavailability or inadequacy. Although many ontology learning methods already exist, there are no comprehensive models of the whole process of the ontology learning from text. In this article, the metamodel of the ontology learning from text is presented. The approach is based on the survey of the existing methods, while evaluation is provided in the form of a reference implementation of the introduced metamodel.