A Smart Service-Oriented CyberGIS Framework for Solving Data-Intensive Geospatial Problems
A Smart Service-Oriented CyberGIS Framework for Solving Data-Intensive Geospatial Problems
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DOI：
10.1007/978-94-024-1531-5_10
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发表时间：
2018-06
期刊：
影响因子：
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通讯作者：
Wenwen Li;M. Goodchild;L. Anselin;K. Weber
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文献类型：
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作者：
Wenwen Li;M. Goodchild;L. Anselin;K. Weber
本章介绍了一种CyberGIS解决方案，旨在解决地理空间数据的发现、搜索、可视化和互操作性方面的大数据挑战。我们描述了一个面向服务的体系结构，使异构地理空间资源易于共享和互操作。在这样的基础设施中采用OGC标准来共享矢量数据、栅格数据、传感器观测数据等，因为它们在GIScience社区中广泛流行。三种支持技术包括：(1)一种结合实时网络爬行和元编目的新方法，支持分布式地理空间服务的快速识别和发现；(2)基于本体的语义搜索框架，增强相关度搜索和排名；(3)多种关联数据集的多维可视化，用于发现底层模式和决策。最后，我们介绍了两个应用程序：陆地卫星图像服务档案（LISA）和ESIP（地球科学信息伙伴关系）语义网测试平台，以演示所提出的技术在各种地球科学领域的适用性。
This chapter introduces a CyberGIS solution that aims at resolving the big data challenges in the discovery, search, visualization and interoperability of geospatial data. We describe a service-oriented architecture to make heterogeneous geospatial resources easily sharable and interoperable. OGC standards for sharing vector data, raster data, sensor observation data etc. are adopted in such an infrastructure because of their widespread popularity in the GIScience community. Three supporting techniques include: (1) a novel method that combines real-time Web crawling and meta-cataloging in support of quick identification and discovery of distributed geospatial services; (2) an ontology-enabled semantic search framework to enhance the relevancy search and ranking; (3) multi-dimensional visualization of diverse interrelated dataset for discovering underlying patterns and decision-making. Finally, we introduce two applications: Landsat Image Service Archive (LISA) and the ESIP (Earth Science Information Partnership) Semantic Web Testbed to demonstrate the applicability of proposed techniques in various Earth Science domains.