域本体支持的海图和地形图要素语义映射方法研究

为了映射异构空间要素的语义,实现空间数据的本体集成,提出了针对海图和地形图的本体构建方法及其空间要素的本体映射算法。在海图和地形图本体的构建过程中,通过建立域本体概念树以及概念之间的约束规则,自动地从空间要素中提取应用本体。对于空间要素的语义映射,提出了一种基于规则约束的语义深度和编辑距离的本体映射算法。该算法结合概念约束规则,从语义和语法两个方面计算来自海图和地形图的空间要素的相似度,弥补了知网只能计算概念相似度,不能计算要素实例相似度的不足。海图和地形图集成实验证明,所提出的本体构建方法和本体映射算法具有较高的可用性,能够实现空间要素在本体层面的动态关联,为解决跨领域的空间数据集成提供了一个新的方法。

Semantic Mapping of Spatial Features from Charts and Topographic Maps Based on Domain Ontology

In order to map the semantic heterogeneity among the spatial features, and implement the integration of spatial data, we presented a method of building ontology and applied an algorithm to map the semantic of spatial features between the charts and topographic maps. In the process of ontology construction, we established the concepts trees of domain ontology as well as the rule constraint among the concepts by manually, and automatically extracted the application ontology from the spatial features. For the semantic mapping among the spatial features, we proposed a semantic mapping algorithm based on concept depth constraint on rules and edit distance. The algorithm calculated the spatial features similarity by means of the method of semantic and syntax from both charts and topographic maps, and covered the shortage of which the HowNet only calculated concepts similarity not an instance. Finally, an example to validate has been given. It is tested that the proposed method of ontology construction and ontology mapping algorithm has superior usability, could achieve dynamic association on the level of ontology among the spatial features, and provided a new approach for spatial data integration from the different domain.