摘要
根据GML语义空间查询的需要,本文在分析GML索引相关技术的基础上,提出以GML地理要素为基本索引单元、联合地理要素扩展区域编码与空间几何属性构成语义空间闭包,基于传统的空间索引技术构建GML数据整体索引的方法。并通过实验对比了GML整体索引与单独索引在语义空间查询中的效率。实验证明,本文提出的整体索引方法优于单独索引,具有较好的实用价值。
According to the demand of semantic-spatial query of GML documents, a GML holistic index method is proposed in this paper, which based on geographical feature unit, joints regional codes and geometric attributes to construct semantic-spatial hypercube, by using traditional spatial data index technology and analyzing GML indexing technology related. Experiments on querying based on index of GML holistic index and independent index show that the overall performance of the holistic index outperforms independent index. Then the GML holistie index method has the desirable application value in practice.
出处
《测绘科学》
CSCD
北大核心
2009年第2期133-135,127,共4页
Science of Surveying and Mapping
基金
国家自然科学基金课题资助(040401045)
南京邮电大学攀登计划项目资助(NY206074)
虚拟地理环境教育部重点实验室开放基金资助(NS206001)
江苏省测绘科研项目资助(JSCHKY200707)