Schema matching using neural network

Abstract

Schema matching plays a key role in data integration, data warehouse and e-business. This paper introduces a schema matching method SMDD based on neural network. By analyzing the characteristics of data distribution, it automatically fulfills the task of schema matching. It can be used independently or as a supplement of other schema matching methods. SMDD can improve the accuracy of schema matching from the point of view of data contents.