基于草图的空间数据检索研究

 空间数据库中蕴含了大量拓扑和方向关系语义,但传统的空间数据检索方法没有很好地利用这些高层语义,针对这一局限性,本文提出了一种基于草图的空间数据检索方法,将九交集拓扑模型和深度方向矩阵引入空间数据检索,给出了一种结合拓扑与方向关系并支持地理数据库中所有数据类型的草图检索方法,基于二元约束满足问题的求解给出了检索算法,并针对实际应用给出了该算法的优化算法.最后通过开发系统原型及实际应用对本文提出的方法进行了验证.

Research on Spatial Data Retrieval Based on Sketch

Spatial database contains a great deal of topological and directional semantics.But traditional spatial data retrieval didn’t make good use of these high level semantics.To overcome this conceptual gap,this paper proposes a spatial data retrieval method based on sketch using 9-intersection model and Deep Direction-Relation Matrix.This method integrates direction relations and topological relations and can handle all data types in geographical databases.This paper outlines an algorithm based on the solutions of Binary CSP.Some methods to improve the efficiency of the algorithm for practical applications are also given.A prototype has been developed to experiment the method this paper proposed.