G IS数据库中空间关联规则发现是SDMKD的重要内容,广泛涉及到知识的表示和推理,需要地理空间知识的深入参与。在地理空间认知的基础上,结合认知逻辑,通过ILP对空间关联规则进行形式化描述,特别分析了其中涉及的空间谓词;通过例子说明了形式化空间关联规则的具体应用。从G IS数据库中挖掘空间关联规则的主要问题是多层、多关系的规则挖掘问题,不同专题图层不同空间对象之间空间谓词的高效计算与存储表达是解决问题的关键;把空间关系非空间化,将连续数据离散化,从而把求解问题转换成布尔型关联规则问题进行讨论,基于此而探讨了一种通过SJI-P表组织空间谓词,然后根据目标对象的概念层级自顶向下、逐层细化的空间关联规则挖掘方法。

To discover spatial association rule is one of the important contents for spatial data mining and knowledge discovery(SDMKD),which extensively concerns with spatial,especially geographic spatial knowledge expression and reasoning.Combining with epistemic logic,formal expression is described by Inductive Logic Programming(ILP),on the basis of geographic spatial cognition.And then the spatial predicates,possibly used in SDMKD from GIS,are analyzed and listed.Subsequently,the formal expression of spatial association rules is explained through taking examples for the relation rules between roads,rivers and towns in Suzhou region.The major problem to mine spatial association rule from GIS is to mine multi-level and multi-relational rules.And the key to solve the problem is how to effectively compute,store and express the spatial predicates among different spatial objects of different thematic layers.Firstly,the spatial data are transformed to the non-spatial data,which can be described in the related tables.And then the original problems are transformed into the problems in Boolean logic rules.Finally,on the basis of the mentioned above,according to the concept hierarchy of spatial objects,the spatial association mining approach,from top to bottom and deepening step by step,is introduced.And the spatial predicates are organized by spatial join index for predicates.