关键词: 数据匹配, metrics空间, 相对距离, 弱相似性

Abstract:

Data matching is an important research direction in database field. In this paper,a data matching method working in the metrics space is proposed,which classifies and matches data based on the triangle inequality theorem,and improves the matching efficiency by introducing a multiple iterative mechanism. Afterwards,the complexity of the method is analyzed and the efficiency of the method is verified by experiments. The results indicate that the proposed method makes full use of data characteristics,thus effectively improving the accuracy,correctness and recall rate of data matching.

Key words: data matching, metrics space, relative distance, weak similarity