Design and Realization for Ontology Learning Model Based on Web

Abstract

Research on ontology is getting more popular nowadays. However, conventional approach of manual construction of ontology is a laborious process and makes ontology difficult to be renewed. Thus, ontology construction is often considered as the bottleneck for knowledge acquisition. By exploiting technologies such as machine learning, automatic or semiautomatic construction of ontology becomes possible. In this paper, we propose a web based ontology learning model. We describe the key components of the approach including documents pretreatment, term extraction, concept choice, and concept classification.