In this paper we investigate various factors which prevent utility knowledge from being\ud fully exploited and suggest that integration techniques can be applied to improve the\ud quality of utility records. The paper suggests a framework which supports knowledge\ud and data integration. The framework supports utility integration at two levels: the\ud schema and data level. Schema level integration ensures that a single, integrated geospatial\ud data set is available for utility enquiries. Data level integration improves utility data\ud quality by reducing inconsistency, duplication and conflicts. Moreover, the framework\ud is designed to preserve autonomy and distribution of utility data. The ultimate aim of\ud the research is to produce an integrated representation of underground utility infrastructure\ud in order to gain more accurate knowledge of the buried services. It is hoped that\ud this approach will enable us to understand various problems associated with utility data,\ud and to suggest some potential techniques for resolving them
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