Preliminary study on an ontology learning from textual data

Abstract

Natural language understanding is needed to intelligently handle the large volumes of information that is explosive growth over the last decade on the WWW. Ontologies may help with analyzing and understanding text where ontology provides a capability to represent objects, concepts and other entities and the relationships between them. Ontologies may be used as a tool for finding possible meanings of words in text, and meaning of text in general. Now, much of this ontology development has been directed towards extraction from textual data as human language is a primary mode of knowledge transfer. The aim of this paper is to give a general overview and preliminary study on some of the ontology learning from text that plays a prominent role on the knowledge retrieval and how the ontological semantic can be improved through the adoption of semantic web technology