Numerous smart city testbeds and system deployments have surfaced around the world, aiming to provide services over unified large heterogeneous IoT infrastructures. Although we have achieved new scales in smart city installations and systems, so far the focus has been to provide diverse sources of data to smart city services consumers, while neglecting to provide ways to simplify making good use of them. We believe that knowledge creation in smart cities through data annotation, supported in both an automated and a crowdsourced manner, is an aspect that will bring additional value to smart cities. We present here our approach, aiming to utilize an existing smart city deployment and the OrganiCity software ecosystem. We discuss key challenges along with characteristic use cases, and report on our design and implementation, along with preliminary results.
翻译:世界各地出现了许多智能城市测试台和系统部署,目的是为统一的大型多变IoT基础设施提供服务。虽然我们在智能城市装置和系统方面实现了新的规模,但迄今为止,重点是向智能城市服务消费者提供各种数据来源,同时忽视提供简化妥善利用这些数据的方法。我们认为,通过数据说明创造智能城市的知识,以自动化和众包方式支持数据说明,将为智能城市带来更多价值。我们在此提出我们的方法,旨在利用现有的智能城市部署和有机城市软件生态系统。我们讨论了与典型使用案例一起的关键挑战,并报告了我们的设计和实施,以及初步结果。