Using Ontology and Rough Set Building e-Commerce Knowledge Management System

The variable precision rough-set model can be thought of as a generalization of the rough-set model. Rough set theory expresses vagueness not by means of membership, but by employing a boundary region of a set. The design of ontology can be based on classificatory knowledge or generic knowledge. The paper proposes using ontology and rough set to build the knowledge management model in e-commerce recommendation system, and to suffice the needs of theory and application in E-commerce recommendation system, and the experiments shows the CPU Time in the attribute numbers, indicating that ontology is superior to rough set in building the e-commerce knowledge management system.