摘要
合理高效的数据源选择策略是提高空间信息检索系统效率的重要因素之一。针对以往研究中对空间尺度语义关注程度的不足,提出一种结合空间尺度语义选择检索数据源的方法。该方法综合考虑人眼视觉特性,计算出参与分布式查询计划生成的数据源集合,过滤在尺度意义上对最终查询结果无影响的数据源,并通过将数据源的简化表达进行预取,进一步减少了查询的整体执行代价。实验结果表明,提出的方法在大尺度查询和小尺度查询时均具有良好的性能。
Effective data source selection strategy is one of the important issues of the spatial information retrieval. This paper proposes a method to select data source based on spatial scale semantics. The method determines the data source set for the distributed query plan fully considering the human vision features, filters those data sources which don't contribute to the final result. Through prefetching the simplified representation of data sources, the method can further reduce the overall cost of a query. The experiment shows that the proposed method has favorable performance both in small and large size query.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2005年第3期81-85,共5页
Journal of National University of Defense Technology
基金
国家863高技术研究发展计划基金项目(2002AA134010
2002AA134020)
关键词
空间信息检索
数据源选择
空间信息系统
spatial information retrieval
data source selection
spatial information system
