基于本体的土地利用数据综合研究

Ontology Based Land Use Data Generalization

提出了基于土地利用类型本体的语义相似度计算模型,建立了顾及空间邻近和语义邻近的土地利用数据综合方法,基于本体语义相似度进行图斑融合的加权骨架线剖分。该模型较好地考虑了人的认知特性,改进的土地利用数据综合过程能够更好地反映和概括土地利用特征。实例证明了该方法的有效性。

We propose a new method of the calculation of the semantic similarity of land use types based on ontology,which improves the generalization methodology of land use data by introducing ontology-based semantic similarity into polygon amalgamation.Ontology-based semantic similarity integrates human spatial cognition.The improved methodology of land use data generalization can reflect and generalize the characters of land use better.It was verified by a case study.