NL2DL: a platform for formal ontology learning and evaluation.

Abstract

Availability to reason for extraction of knowledge makes Ontology Learning subject of intensive study for past couple of years. With the scaling of the domain, time taken to manually conceptualize the domain knowledge increases, making a way for automatic learning tools. Thesis approach the problem of automatically converting Natural Language text documents to its corresponding Description Logic expression, linguistically and its evaluation technique. Text documents of WCL Data set are used to build/learn ontology.