Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Adapting integrity enforcement techniques for data reconciliation

Embury, Suzanne Marie, Brand, Sue M., Robinson, John S., Sutherland, Iain, Gray, William Alexander, Bisby, Frank A., Jones, Andrew Clifford and White, Richard John 2001. Adapting integrity enforcement techniques for data reconciliation. Information Systems 26 (8) , pp. 657-689. 10.1016/S0306-4379(01)00044-8

Full text not available from this repository.

Abstract

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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Uncontrolled Keywords: Data integration; Data reconciliation; Integrity constraints; Integrity enforcement; Biodiversity information systems
Publisher: Elsevier
ISSN: 0306-4379
Last Modified: 15 Dec 2017 08:37
URI: http://orca-mwe.cf.ac.uk/id/eprint/1856

Citation Data

Cited 40 times in Google Scholar. View in Google Scholar

Cited 24 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item