Characterization of NON-ISA factual sentences in english

Abstract

Availability to reason for extraction of knowledge has made 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 is to characterize Natural Language text documents, by taking sentences one by one from documents and giving subject, object, relation between them, subject modifier and object modifier(for particular sentence), which helps to convert Natural Language text document into semantically equivalent DL(Description Logic) expression. This DL expression is used to generate Ontology automatically.