%0 Journal Article
	%A A. R. Vazifedoost and  M. Rahgozar and  F. Oroumchian
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 21, 2008
	%T Using Automatic Ontology Learning Methods in Human Plausible Reasoning Based Systems
	%U https://publications.waset.org/pdf/4490
	%V 21
	%X Knowledge discovery from text and ontology learning
are relatively new fields. However their usage is extended in many
fields like Information Retrieval (IR) and its related domains. Human
Plausible Reasoning based (HPR) IR systems for example need a
knowledge base as their underlying system which is currently made
by hand. In this paper we propose an architecture based on ontology
learning methods to automatically generate the needed HPR
knowledge base.
	%P 3158 - 3165