Exploiting semantics of web services for geospatial data fusion

SSO '11 Pub Date : 2011-11-01 DOI:10.1145/2068976.2068981
Pedro A. Szekely, Craig A. Knoblock, Shubham Gupta, M. Taheriyan, Bo Wu
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引用次数: 17

Abstract

Using today's GIS tools, users without programming expertise are unable to fully exploit the growing amount of geospatial data becoming available because today's tools limit them to displaying data as layers for a region on a map. Fusing the data in more complex ways requires the ability to invoke processing algorithms and to combine the data these algorithms produce in sophisticated ways. Our approach, implemented in a tool called Karma, encapsulates these algorithms as Web services described using semantic models that not only specify the data types for the inputs and outputs, but also specify the relationships between them. Karma semi-automatically builds these models from sample data and then uses these models to provide an easy to use interface that lets users seamlessly implement workflows that combine and process the data in sophisticated ways.
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利用web服务语义实现地理空间数据融合
使用今天的GIS工具,没有编程专业知识的用户无法充分利用越来越多的地理空间数据,因为今天的工具限制了他们在地图上以区域层的形式显示数据。以更复杂的方式融合数据需要调用处理算法的能力,并以复杂的方式组合这些算法产生的数据。我们的方法是在一个名为Karma的工具中实现的,它将这些算法封装为使用语义模型描述的Web服务,语义模型不仅指定输入和输出的数据类型,而且还指定它们之间的关系。Karma从样本数据中半自动地构建这些模型,然后使用这些模型提供一个易于使用的界面,让用户无缝地实现工作流,以复杂的方式组合和处理数据。
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