Beck, A.R., Fu, G., Cohn, A.G., Bennett, B. and Stell, J.G. (2007) A framework for utility data integration in the UK. In: Rumor, M., Coors, V. and Fendel, E.M., (eds.) Urban and Regional Data Management: UDMS 2007. 26th Urban Data Management Symposium, October 10-12, 2007, Stuttgart, Germany. Taylor and Francis , pp. 261-276. ISBN 9780415440592Full text available as:
Available under License : See the attached licence file.
In this paper we investigate various factors which prevent utility knowledge from being fully exploited and suggest that integration techniques can be applied to improve the quality of utility records. The paper suggests a framework which supports knowledge and data integration. The framework supports utility integration at two levels: the schema and data level. Schema level integration ensures that a single, integrated geospatial data set is available for utility enquiries. Data level integration improves utility data quality by reducing inconsistency, duplication and conflicts. Moreover, the framework is designed to preserve autonomy and distribution of utility data. The ultimate aim of the research is to produce an integrated representation of underground utility infrastructure in order to gain more accurate knowledge of the buried services. It is hoped that this approach will enable us to understand various problems associated with utility data, and to suggest some potential techniques for resolving them.
|Item Type:||Proceedings Paper|
|Copyright, Publisher and Additional Information:||This is an author produced version of the published paper. Uploaded in accordance with the publisher's self-archiving policy.|
|Academic Units:||The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)|
|Depositing User:||Mrs Yasmin Aziz|
|Date Deposited:||14 Nov 2008 14:23|
|Last Modified:||08 Feb 2013 17:05|
|Publisher:||Taylor and Francis|
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