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一个用于联合GeoSPARQL查询的地理空间源选择器
Antonis Troumpoukis1, Stasinos Konstantopoulos1, Nefeli Prokopaki-Kostopoulou2
1Institute of Informatics and Telecommunications, National Center for Scientific Research (NCSR) Demokritos, Ag. Paraskevi, 15341, Greece.
Open research Europe
|August 30, 2023
概括
本研究介绍了一种地理空间总结方法,以改进联合GeoSPARQL查询处理. 通过总结数据源范围,它提高了查询链接的地理空间数据的效率和有效性.
科学领域:
- 语义网络技术 语义网络技术
- 地理空间链接数据
- 联合查询处理 联合查询处理
背景情况:
- 地缘空间链接数据将丰富的描述与地理位置集成在一起,扩大语义网络的功能.
- 在Semantic Web技术中充分整合地理空间数据仍然存在挑战,特别是在联合查询处理中.
研究的目的:
- 探索注释数据源与边界多边形总结空间延伸.
- 将这些摘要作为在联合查询中选择来源的标准.
- 为了提高联合GeoSPARQL查询处理的有效性.
主要方法:
- 用边界多边形标注数据源,表示空间资源范围.
- 实施使用这些多边形的源选择方法,以减少查询的源.
- 对基线进行不同总结精度的方法评估.
主要成果:
- 更复杂的空间总结增加了源选择时间,但提高了精度.
- 减少的规划和执行时间部分或完全抵消了更慢的源选择.
- 联合源受到保护免受不必要的查询,提高了整体效率.
结论:
- 拟议的源选择方法显著提高了联合GeoSPARQL查询处理的有效性.
- 该方法使用农业环境数据对作物类型和水资源的可用性进行验证.
- 这种方法优化了在语义网络中对链接的地理空间数据的查询.
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