Adapting integrity enforcement techniques for data reconciliation

被引:19
|
作者
Embury, SM
Brandt, SM
Robinson, JS
Sutherland, I
Bisby, FA
Gray, WA
Jones, AC
White, RJ
机构
[1] Cardiff Univ, Dept Comp Sci, Cardiff CF24 3XF, S Glam, Wales
[2] Univ Reading, Sch Plant Sci, Ctr Plant Divers & Systemat, Reading RG6 6AS, Berks, England
[3] Univ Southampton, Sch Biol Sci, Biodivers & Ecol Res Div, Southampton SO16 7PX, Hants, England
基金
英国生物技术与生命科学研究理事会;
关键词
data integration; data reconciliation; integrity constraints; integrity enforcement; biodiversity information systems;
D O I
10.1016/S0306-4379(01)00044-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Integration of data sources opens up possibilities for new and valuable applications of data that cannot be supported by the individual sources alone. Unfortunately, many data integration projects are hindered by the inherent heterogeneities in the sources to be integrated. In particular, differences in the way that real world data is encoded within sources can cause a range of difficulties, not least of which is that the conflicting semantics may not be recognised until the integration project is well under way. Once identified, semantic conflicts of this kind are typically dealt with by configuring a data transformation engine, that can convert incoming data into the form required by the integrated system. However, determination of a complete and consistent set of data transformations for any given integration task is far from trivial. In this paper, we explore the potential application of techniques for integrity enforcement in supporting this process. We describe the design of a data reconciliation tool (LITCHI) based on these techniques that aims to assist taxonomists in the integration of biodiversity data sets. Our experiences have highlighted several limitations of integrity enforcement when applied to this real world problem, and we describe how we have overcome these in the design of our system. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:657 / 689
页数:33
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