多源动态异构空间标绘内容整合研究

Research on content integration for multi-dynamic plotting information

为使复杂的海量多源空间标绘内容规范化、标准化,确保标绘内容的正确性,亟需对空间标绘内容进行整合。针对多源异构空间标绘信息中存在的同标异物、异标同物等情况,分析不同应用类型标绘数据的自身特点,以最大限度地消除差异性为标准,采用粗糙集理论对信息进行分类,通过建立语义本体库进行源数据分析、提取和转换等工作,建立数据整合标准与质量控制体系,突破数据源之间标准的差异以及异常数据的限制,实现了多源标绘内容的自动/半自动整合。以全球地名数据为例,随机选取4组实验数据进行属性约简和规则提取,并对相关数据进行整合。实验结果表明,算法可行性强,数据整合流程具备高效性,能够应用于大数据集的分类。

In order to deal with the multi - source and multi - scale spatial data content integration and ensure the plotting correctness of the content, the authors have handled the multi - dynamic plotting information in which there exist such cases as the plotting marked with the same thing, different standards for foreign body, synonymous standard, and the same standard for the foreign body. The key problem is to analyze the characteristics of plotting information for themselves, perform source data analysis, extraction and conversion, and build data integration standards and quality control system. always from different sources or with multi -scale spatial data integration. In addition, the authors have broken outlines. As a result, the authors have through the restriction that data are achieved the application- oriented