Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/5584

TitleKnowledge discovery in spatial databases through qualitative spatial reasoning
Author(s)Santos, Maribel Yasmina
Amaral, Luís
Issue date2000
CitationINTERNATIONAL CONFERENCE AND EXHIBITION ON THE PRACTICAL APPLICATIONS OF KNOWLEDGE DISCOVERY AND DATA MINING, 4, Manchester, UK, 2000 – “International Conference and Exhibition on the Practical Applications of Knowledge Discovery and Data Mining (PADD'00) : proceedings”. [S.l. : s.n.], 2000. ISBN 1-902426-08-8. p. 73-88.
Abstract(s)Human beings use qualitative identifiers extensively to simplify reality and to perform spatial reasoning more efficiently. Organisational databases usually store geographic identifiers, like addresses or postcodes, which spatial component is not incorporated in the knowledge discovery process. This paper addresses the process of Knowledge Discovery in Spatial Databases through a Qualitative Spatial Reasoning approach. The aim is the improvement of the referred process by the adoption of qualitative identifiers like North, South, close, far, etc. in the classification of spatial relations that exists between the geographic entities addressed. The proposed approach uses a spatial reasoning strategy that integrated direction and distance spatial relations in the reasoning process, allowing the inference of implicit spatial relations for the several levels of the considered geographic hierarchies. The integration of a geographic and a demographic database allowed the discovery of spatial patterns and general relationships that exist between the analysed spatial and non-spatial data.
TypeConference paper
URIhttp://hdl.handle.net/1822/5584
ISBN1-902426-08-8
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DSI - Engenharia da Programação e dos Sistemas Informáticos

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