Beck, AR, Fu, G, Cohn, AG orcid.org/0000-0002-7652-8907 et al. (2 more authors) (2007) A framework for utility data integration in the UK. In: Rumor, M, Coors, V, Fendel, EM and Zlatanova, S, (eds.) Urban and Regional Data Management: UDMS 2007 Annual. Urban Data Management Society Symposium 2007, 10-12 Oct 2007, Stuttgart, Germany. CRC Press , pp. 261-276. ISBN 9780415440592
Abstract
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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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. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) |
Depositing User: | Mrs Yasmin Aziz |
Date Deposited: | 14 Nov 2008 14:23 |
Last Modified: | 20 Jun 2021 08:37 |
Status: | Published |
Publisher: | CRC Press |
Refereed: | Yes |
Identification Number: | 10.4324/9780203931042 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:4876 |