客观世界中的各种事物之间都存在一定的相似性。相似性越高,两个事物的共有信息量则越多,表明两个事物表示同一个实体的可能性就越大。因此,相似性理论技术在地理空间数据的匹配更新中能够发挥重要作用。本文通过对地理空间数据几何相似性和语义相似性的分析研究,将其引入地名数据匹配及一致性处理中,给出了相关匹配模型和算法,提出了一种基于几何和属性相似性的地名数据匹配方法和技术,并通过相关实验验证了匹配算法的可行性。实验证明,该算法具有一定的理论意义和实用价值。
There is much similarity in the objective things, the more similarity, the more commonality in the tow things, then the two things are more like one thing. So, the theory of similarity in the geographical space data of places names matching plays an important role. The geographical space data of geometric similarity and semantic similarity were researched. The model and the algorithms were designed, and the way was studied about geometric similarity and semantic similarity. Finally, an example was given to test the algorithms, and it was tested that the theory had the meaning and using value.