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基于过滤率估算的 WFS 服务空间连接优化策略

蓝贵文 陈骐 陈天伟

桂林理工大学学报2016,Vol.36Issue(2):310-313,4.
桂林理工大学学报2016,Vol.36Issue(2):310-313,4.DOI:10.3969/j.issn.1674-9057.2016.02.019

基于过滤率估算的 WFS 服务空间连接优化策略

Spatial join optimization of web feature services based on early filtering estimation

蓝贵文 1陈骐 2陈天伟1

作者信息

  • 1. 桂林理工大学 测绘地理信息学院,广西 桂林 541004
  • 2. 桂林理工大学 广西空间信息与测绘重点实验室,广西 桂林 541004
  • 折叠

摘要

Abstract

The OpenGIS Web Feature Service (WFS)Interface Standard provides an interface allowing requests and updates for geographical features across the web by the HTTP protocol.In such a web-service-oriented envi-ronment,an issued query may invovle two or more spatial datasets that are provided by different services at dif-ferent sites.The processes of generating GML document in the WFS server,transmitting it to and parsing it at the client site,are very time-consuming,which causes a bottleneck to application of WFSs for distributed spatial data integration.This paper examines the query optimization strategy of spatial joins between OGC-compliant WFSs,based on the methods of spatial semi-join and partition based spatial-merge join.To avoid blindness of spatial semi-join operations of sub-areas,an improved strategy is proposed in this paper.In early phase the fil-tering ratios of spatial semi-joins for all the sub-areas are estimated and used to generate execution plans of spa-tial semi-join operations.The experimental result illustrates that compared with the previous methods,the pro-posed strategy can improve the performance of spatial joins between two WFSs.

关键词

网络要素服务/空间连接/过滤率/查询优化

Key words

web feature service/spatial join/filter ratio/query optimization

分类

天文与地球科学

引用本文复制引用

蓝贵文,陈骐,陈天伟..基于过滤率估算的 WFS 服务空间连接优化策略[J].桂林理工大学学报,2016,36(2):310-313,4.

基金项目

国家自然科学基金项目(41261088);广西空间信息与测绘重点实验室主任基金项目(桂科能1207115-11);广西“八桂学者”专项经费项目 ()

桂林理工大学学报

OA北大核心CSTPCD

1674-9057

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