语义支持的地理要素属性相似性计算模型

发布时间：2018-10-21 17:31

【摘要】：现势性是发挥数据应用价值的关键。鉴于在地理要素数据匹配过程中,常常因为分类标准不同或地图综合处理等原因而产生要素属性间的语义异质性,该文试图通过引入本体语义技术解决语义异质性问题,利用属性枚举的方法表达地理要素类别语义,构建地理要素分类本体结构;同时将地物属性信息划分为要素类别信息、地物名称信息以及辅助信息3个部分,提出了语义支持的地理要素属性相似性模型。该模型从概念语义内涵的角度计算地理要素类别的相似性;从地物名称字面出发计算地物名称相似度;根据不同的辅助属性类型计算辅助属性相似度。实验结果表明,同尺度多时态与跨尺度相同时间版本环境下,所提出的模型可有效合理地评价候选地物间的属性相似性,较好地为地理数据匹配提供支持。
[Abstract]:The present situation is the key to give full play to the value of data application. In the process of geographic element data matching, semantic heterogeneity among attributes is often caused by different classification standards or map synthesis, so this paper attempts to solve the semantic heterogeneity problem by introducing ontology semantic technology. The method of attribute enumeration is used to express the semantic of geographical element category and to construct the ontology structure of geographical element classification. At the same time, the attribute information of ground object is divided into three parts: element category information, feature name information and auxiliary information. In this paper, a semantic support model of attribute similarity of geographical elements is proposed. The model calculates the similarity of geographical element categories from the perspective of conceptual semantic connotation, calculates the similarity of geographical feature names from the surface names literally, and calculates the similarity of auxiliary attributes according to different auxiliary attribute types. The experimental results show that the proposed model can effectively and reasonably evaluate the attribute similarity between candidate objects under the same scale multi-temporal and cross-scale and the same time version environment, and provide a better support for geographic data matching.
【作者单位】：东华理工大学测绘工程学院;流域生态与地理环境监测国家测绘地理信息局重点实验室;东华理工大学江西省数字国土重点实验室;
【基金】：东华理工大学博士启动基金项目(DHBK2015310);东华理工大学江西省数字国土重点实验室开放研究基金资助项目(DLLJ201619) 江西省自然科学基金(20151BAB213030)
【分类号】：P208

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