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Knowledge discovery in spatial databases through qualitative spatial reasoning

机译:通过定性空间推理在空间数据库中发现知识

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摘要

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.
机译:人类广泛使用定性标识符来简化现实并更有效地执行空间推理。组织数据库通常存储地理标识符,例如地址或邮政编码,而该空间成分未包含在知识发现过程中。本文通过定性空间推理方法解决了空间数据库中知识发现的过程。目的是通过在定址的地理实体之间存在的空间关系的分类中采用定性标识符(如北,南,近,远等)来改进引用过程。所提出的方法使用在推理过程中整合方向和距离空间关系的空间推理策略,从而可以为所考虑的地理层次结构的多个级别推断隐式空间关系。地理数据库和人口统计学数据库的集成允许发现空间模式以及分析的空间数据和非空间数据之间存在的一般关系。

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