Others involved: Prof. Chris Jones
Funding:
This research addresses the problems that arise in maintaining and updating geographical databases that store information that may be obtained from sources that may differ in the scale, accuracy and temporal registration of the data. A major issue in automated update is that of recognising whether digital map data from different sources represent the same real-world phenomena, and if so which data are of better quality and which data should be replaced. Rule-based update procedures are being developed that combine forward and backward chaining rule processing with calls to geometric procedures that are used in helping to characterising the geometric signature of linear and polygonal features. The geometric signature is used in the rule processing in combination with metadata regarding the classification and lineage. The experimental system is implemented with the Kappa object-oriented programming environment and incorporates multi-resolution spatial data structures developed in previous research projects in the Department.
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Last updated 24/October/95