Disaster response operations require fast and coordinated actions based on real‐time disaster situation information. Although crowdsourced geospatial data applications have been demonstrated to be valuable tools for gathering real‐time disaster situation information, they only provide limited utility for disaster response coordination because of the lack of semantic compatibility and interoperability. To help overcome the semantic incompatibility and heterogeneity problems, we use Geospatial Semantic Web (GSW) technologies. We then combine GSW technologies with Web Feature Service requests to access multiple servers. However, a GSW‐based geographic information system often has poor performance due to the complex geometric computations required. The objective of this research is to explore how to use optimization techniques to improve the performance of an interoperable geographic situation‐awareness system (IGSAS) based on GSW technologies for disaster response. We conducted experiments to evaluate various client‐side optimization techniques for improving the performance of an IGSAS prototype for flood disaster response in New Haven, Connecticut. Our experimental results show that the developed prototype can greatly reduce the runtime costs of geospatial semantic queries through on‐the‐fly spatial indexing, tile‐based rendering, efficient algorithms for spatial join, and caching, especially for those spatial‐join geospatial queries that involve a large number of spatial features and heavy geometric computation.

中文翻译：

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改进可互操作的地理情况感知系统的地理空间查询性能以应对灾难

灾难响应操作需要基于实时灾难情况信息的快速而协调的行动。尽管已经证明了众包的地理空间数据应用程序是收集实时灾难情况信息的有价值的工具，但是由于缺乏语义兼容性和互操作性，它们只能为灾难响应协调提供有限的工具。为了帮助克服语义不兼容和异构性问题，我们使用地理空间语义网（GSW）技术。然后，我们将GSW技术与Web Feature Service请求结合起来以访问多个服务器。但是，由于所需的复杂几何计算，基于GSW的地理信息系统通常性能较差。这项研究的目的是探索如何使用优化技术来改善基于GSW技术的可互操作的地理情况感知系统（IGSAS）的性能，以应对灾害。我们进行了实验，以评估各种客户端优化技术，以改善IGSAS原型在康涅狄格州纽黑文的洪水灾害响应性能。我们的实验结果表明，开发的原型可以通过动态空间索引，基于图块的渲染，有效的空间连接算法和缓存，特别是那些对空间连接的地理空间查询，可以大大降低地理空间语义查询的运行时成本。涉及大量的空间特征和繁重的几何计算。