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Semantic Access to Sensor Observations through Web APIs

机译:通过Web API语义访问传感器观察

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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:传感器网络通常是部署的,目的是向大规模信息管理和GIS系统提供数据,或收集特定科学实验的测量。这种用途的好处是清晰和广泛接受的。以低成本,轻量级,Web应用程序和Mashup重用观察结果是传感器网络的进一步引人注目的用例,但需要通过简单的机制提供数据,易于访问,这很快就会使用。要使后者能够保持对较大应用程序的支持,并且为了增加信息实用程序,从其他数据集增加信息,我们提出了一种使用常见的语义框架来实现休息和链接数据原理的域驱动方法,该方法构成了涉及的界限的分离域模型,传感器观察基础设施和应用程序编程接口(API),同时保持信息一致性。我们描述了一个可重复使用的可重构的Web服务,可实现这种设计,可以部署以提供对传感器信息的多个源的访问,包括数据库和流数据,具有灵活的API和域映射。

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