Automatic Ontology Acquisition and Learning

Abstract

It is widely accepted to consider ontology as a conceptualization of a domain of interest that can be used in several ways to model, analyse and reason upon the domain. It is an expensive and time consuming task to construct ontologies manually through domain experts and knowledge engineer. So there is a need of ontology learning from different sources. This paper provides a framework for ontology learning approaches and specifically describes the term extraction using natural language processing.

A partial ontology on DAOs, built manually

“…It ensures a common understanding of information and makes explicit domain assumptions, thus allowing organizations to make better sense of their data. By providing a common vocabulary for researchers who need to share information in a domain, it can help share a common understanding of the structure of information between people or software agents [Mishra and Sarika 2014] [Gruber 1993].…”