Building applications able to cope with problematic data using a datawarp approach
Building applications able to cope with problematic data using a datawarp approach
As the amount of data systems have to work with increases, it becomes practically impossible to ensure it is consistent, no matter how tough we make our data collection procedures. Currently systems logic is based on the implicit assumption that the data they use is essentially correct and they struggle when this is not the case. To deal with this situation, we need to build applications which are better able to handle inconsistencies. In a series of experiments, we have shown that an application using our “DataWarp” approach to data enjoys a real advantage in one specific environment. Here we describe applying the approach more widely
DataWarp, data inconsistency, enterprise information systems, distributed systems, dynamic systems
972-8865-19-8
411-414
Crouch, Stephen
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Henderson, Peter
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Walters, Robert John
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Chen, Chi-Sheng
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Filipe, Joaquim
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Seruca, Isabel
941a3870-5987-462c-b4da-00697279933b
Cordeiro, Jose
39f72fbe-6478-4f6a-adaa-830e45f602ee
2005
Crouch, Stephen
a136ad57-82ec-4664-8d8e-79a605808e6d
Henderson, Peter
bf0a7293-7277-459d-9c3c-67b0a6eabd54
Walters, Robert John
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Chen, Chi-Sheng
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Filipe, Joaquim
9b3f048c-0029-4507-b035-71f321ae133e
Seruca, Isabel
941a3870-5987-462c-b4da-00697279933b
Cordeiro, Jose
39f72fbe-6478-4f6a-adaa-830e45f602ee
Crouch, Stephen, Henderson, Peter and Walters, Robert John
(2005)
Building applications able to cope with problematic data using a datawarp approach.
Chen, Chi-Sheng, Filipe, Joaquim, Seruca, Isabel and Cordeiro, Jose
(eds.)
Seventh International Conference on Enterprise Information Systems, Miami, United States.
25 - 28 May 2005.
.
Record type:
Conference or Workshop Item
(Poster)
Abstract
As the amount of data systems have to work with increases, it becomes practically impossible to ensure it is consistent, no matter how tough we make our data collection procedures. Currently systems logic is based on the implicit assumption that the data they use is essentially correct and they struggle when this is not the case. To deal with this situation, we need to build applications which are better able to handle inconsistencies. In a series of experiments, we have shown that an application using our “DataWarp” approach to data enjoys a real advantage in one specific environment. Here we describe applying the approach more widely
Text
Short_DW2_a.pdf
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More information
Published date: 2005
Venue - Dates:
Seventh International Conference on Enterprise Information Systems, Miami, United States, 2005-05-25 - 2005-05-28
Keywords:
DataWarp, data inconsistency, enterprise information systems, distributed systems, dynamic systems
Organisations:
Web & Internet Science, Electronic & Software Systems
Identifiers
Local EPrints ID: 260934
URI: http://eprints.soton.ac.uk/id/eprint/260934
ISBN: 972-8865-19-8
PURE UUID: d12655cc-0c75-46a7-bc2b-6b19027bb62c
Catalogue record
Date deposited: 01 Jun 2005
Last modified: 15 Mar 2024 03:09
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Contributors
Author:
Stephen Crouch
Author:
Peter Henderson
Author:
Robert John Walters
Editor:
Chi-Sheng Chen
Editor:
Joaquim Filipe
Editor:
Isabel Seruca
Editor:
Jose Cordeiro
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