Element similarity measures in XML schema matching

被引：46
作者：
Algergawy, Alsayed [1 ]
Nayak, Richi [2 ]
Saake, Gunter [3 ]
机构：
[1] Univ Leipzig, Dept Comp Sci, D-04009 Leipzig, Germany
[2] Queensland Univ Technol, Sch Informat Syst, Brisbane, Qld 4001, Australia
[3] Univ Magdeburg, Fac Comp Sci, D-39106 Magdeburg, Germany
来源：
INFORMATION SCIENCES | 2010年 / 180卷 / 24期
关键词：
XML; Schema matching; Element similarity measures; ALGORITHM;
D O I：
10.1016/j.ins.2010.08.022
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Schema matching plays a central role in a myriad of XML-based applications. There has been a growing need for developing high-performance matching systems in order to identify and discover semantic correspondences across XML data. XML schema matching methods face several challenges in the form of definition, adoption, utilization, and combination of element similarity measures. In this paper, we classify, review, and experimentally compare major methods of element similarity measures and their combinations. We aim at presenting a unified view which is useful when developing a new element similarity measure, when implementing an XML schema matching component, when using an XML schema matching system, and when comparing XML schema matching systems. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码：4975 / 4998
页数：24
相关论文
共 62 条
[1]  
Abiteboul S., 1999, DATA WEB RELATIONS S
[2]  
ALGERGAWY A, 2009, 11 INT C ENT INF SYS, P287
[3]  
ALGERGAWY A, 2009, 8 INT C ONT DAT APPL, P1246
[4]  
Algergawy A, 2008, COMM COM INF SC, V8, P19
[5]   Improving XML schema matching performance using Prufer sequences [J].
Algergawy, Alsayed ;
Schallehn, Eike ;
Saake, Gunter .
DATA & KNOWLEDGE ENGINEERING, 2009, 68 (08) :728-747
[6]  
AMERYAHIA S, 2002, 8 INT C EXT DAT TECH, P496
[7]  
[Anonymous], P 10 INT C INF INT W
[8]  
[Anonymous], OVERVIEW SIMILARITY
[9]  
[Anonymous], 2008, P 11 INT C EXT DAT T, DOI DOI 10.1145/1353343.1353358
[10]  
[Anonymous], 2001, IEEE Data Eng. Bull.
1234567