Uncertain Schema Matching Based on Fuzzy Decision Making

被引：0

作者：

Weng Nian-feng ^{[1
,2
]}

Diao Xing-chun ^{[1
]}

Cao Jian-jun ^{[1
]}

机构：

[1] Nanjing Telecommun Technol Inst, Nanjing 210007, Jiangsu, Peoples R China

[2] PLA Univ Sci & Technol, Nanjing 210007, Jiangsu, Peoples R China

来源：

INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL | 2012年 / 15卷 / 11B期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Schema matching; Uncertainty; Fuzzy decision making; Triangular fuzzy number;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Schema matching is very important in many database applications. Due to the semantic heterogeneity of data schemas, schema matching process contains uncertainty inherently. In order to manage uncertainty of schema matching, fuzzy decision making theory is employed to model schema matching process. The similarities of schema element pair given by independent matchers are aggregated to a triangular fuzzy number. Based on the priorities of these triangular fuzzy similarities an integrated strategy is proposed to select candidate mappings. The overall quality of our uncertain schema matching algorithm is verified by experiments.

引用

页码：5125 / 5136

页数：12

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