基于拓扑关系的不确定区域方向关系推理

Deriving Direction Relations Between Uncertain Regions from Topological Relations

利用宽边界区域对多种来源的不确定性数据建模,用确定区域的拓扑和方向关系组合描述不确定区域的拓扑和方向关系。根据拓扑关系和方向关系间内在规律,直接从不确定区域的拓扑符号描述中推理出方向关系的符号描述,是对已有推理方法的有益补充。

Uncertain spatial relations are fundamental to querying and handling uncertain spatial data. However, there is a lack of models and approaches about uncertain relations to satisfy the requirements of many applications. In this study, the regions with broad boundaries are adopted first to model multi-source uncertain spatial data, and then the topology and direction between crisp regions are combined to represent the topological and direction relations related to uncertain regions. Finally, a method is presented to derive the symbolic directions concerned with uncertain regions from the corresponding symbolic description of topological relations according to the underlying knowledge between topology and direction. The derivation is a helpful complementary to current reasoning methods, and can be used to check inconsistencies of spatial data, handle spatial data query languages, and evaluate the similarity of spatial data.