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Semantic Access to Sensor Observations through Web APIs

机译:通过Web API语义访问传感器观测值

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Sensor networks are often deployed with the purpose of providing data to large-scale information management and GIS systems, or to collect measurements for specific scientific experiments. The benefits of such use are clear and widely accepted. The reuse of observations in low-cost, lightweight, web applications and mashups is a further compelling use case for sensor networks, but requires provision of data through simple mechanisms, readily accessible, that are quick to develop with. To enable the latter while maintaining support for larger applications and, to increase information utility, links to and from other datasets, we propose a domain-driven approach that embodies REST and Linked Data principles using a common semantic framework that underpins a separation of concerns between domain models, sensor observation infrastructure, and Application Programming Interfaces (APIs) while maintaining information consistency. We describe a reusable, reconfigurable, web service that realises this design and can be deployed to provide access to multiple sources of sensor information, including databases and streaming data, with flexible semantic configuration of the API and domain mapping.
机译:部署传感器网络的目的通常是为大规模信息管理和GIS系统提供数据,或为特定的科学实验收集测量数据。这种使用的好处是显而易见的,并且被广泛接受。在低成本,轻量级的Web应用程序和mashup中重用观测值是传感器网络的另一个引人注目的用例,但需要通过易于开发且易于开发的简单机制来提供数据。为了使后者能够在保持对大型应用程序的支持的同时,以及为了增加信息实用程序与其他数据集之间的链接,我们提出了一种域驱动方法,该方法使用共同的语义框架来体现REST和链接数据原理,该语义框架支持关注点之间的分离。域模型,传感器观察基础结构和应用程序编程接口(API),同时保持信息的一致性。我们描述了一种可重用,可重新配置的Web服务,该服务实现了此设计,并且可以通过API和域映射的灵活语义配置来部署以提供对多个传感器信息源(包括数据库和流数据)的访问。

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