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An ontology-based method for quality assessment of spatial data bases

Abstract : We propose an ontological approach for the quality assessment of spatial databases. This process is carried out at two levels. At the ontological level, the internal consistency of the specifications is considered. At the data level, real objects and their relations are studied with respect to the specifications. For this purpose, the national topographic database of Canada is selected as the case study. The ontology of the spatial database is translated into a knowledge base coded in Prolog. Then rules that define inconsistencies were defined. The querying of the knowledge base to determine the existence of such inconsistencies was carried out on a very large fact base. By this process, spatial relation between each pair of objects is analyzed with respect to the permitted relation between such objects in the ontology. The results obtained from various experimentations indicate the presence of several inconsistencies in the analyzed data set. These problems were attributed firstly to the control system that oversees the production process and secondly to the incomplete ontology. The overall approach appeared to be justified. The results obtained from several experimentation illustrated the potential of the proposed method for the quality assessment of spatial data bases in both ontological and data levels.
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Contributor : Robert Jeansoulin Connect in order to contact the contributor
Submitted on : Monday, October 17, 2005 - 2:02:51 PM
Last modification on : Saturday, June 25, 2022 - 7:48:34 PM
Long-term archiving on: : Thursday, April 1, 2010 - 8:47:01 PM


  • HAL Id : inria-00000447, version 1


Mir-Abolfazl Mostafavi, Geoffrey Edwards, Robert Jeansoulin. An ontology-based method for quality assessment of spatial data bases. Third International Symposium on Spatial Data Quality, Department for Geoinformation and Cartography, Vienna University of Technology, Apr 2004, Bruck an der Leitha, pp.49-66. ⟨inria-00000447⟩



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