Query Interface for Smart City Internet of Things Data Marketplaces: A Case Study

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet of Things Pub Date : 2023-07-18 DOI:10.1145/3609336
Naeima Hamed, A. Gaglione, A. Gluhak, Omer F. Rana, Charith Perera
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Abstract

Cities are increasingly becoming augmented with sensors through public, private, and academic sector initiatives. Most of the time, these sensors are deployed with a primary purpose (objective) in mind (e.g., deploy sensors to understand noise pollution) by a sensor owner (i.e., the organization that invests in sensing hardware, e.g., a city council). Over the past few years, communities undertaking smart city development projects have understood the importance of making the sensor data available to a wider community—beyond their primary usage. Different business models have been proposed to achieve this, including creating data marketplaces. The vision is to encourage new startups and small and medium-scale businesses to create novel products and services using sensor data to generate additional economic value. Currently, data are sold as pre-defined independent datasets (e.g., noise level and parking status data may be sold separately). This approach creates several challenges, such as (i) difficulties in pricing, which leads to higher prices (per dataset); (ii) higher network communication and bandwidth requirements; and (iii) information overload for data consumers (i.e., those who purchase data). We investigate the benefit of semantic representation and its reasoning capabilities toward creating a business model that offers data on demand within smart city Internet of Things data marketplaces. The objective is to help data consumers (i.e., small and medium enterprises) acquire the most relevant data they need. We demonstrate the utility of our approach by integrating it into a real-world IoT data marketplace (developed by the synchronicity-iot.eu project). We discuss design decisions and their consequences (i.e., tradeoffs) on the choice and selection of datasets. Subsequently, we present a series of data modeling principles and recommendations for implementing IoT data marketplaces.
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智慧城市物联网数据市场查询接口:案例研究
通过公共、私营和学术部门的倡议,城市越来越多地增加了传感器。大多数情况下,这些传感器是由传感器所有者(即投资传感硬件的组织,例如市议会)部署的,其主要目的(目标)是(例如,部署传感器以了解噪音污染)。在过去的几年里,从事智慧城市发展项目的社区已经认识到将传感器数据提供给更广泛的社区的重要性,而不仅仅是它们的主要用途。为了实现这一目标,已经提出了不同的商业模式,包括创建数据市场。其愿景是鼓励新的初创企业和中小型企业利用传感器数据创造新的产品和服务,以产生额外的经济价值。目前,数据是作为预定义的独立数据集出售的(例如,噪音水平和停车状态数据可能会单独出售)。这种方法带来了一些挑战,例如(i)定价困难,导致更高的价格(每个数据集);(ii)更高的网络通信和带宽要求;(iii)数据消费者(即购买数据的人)的信息过载。我们研究了语义表示的好处及其推理能力,以创建一个在智慧城市物联网数据市场中按需提供数据的商业模型。目标是帮助数据消费者(即中小型企业)获得他们需要的最相关的数据。我们通过将其集成到现实世界的物联网数据市场(由synchronicity-iot开发)来展示我们方法的实用性。欧盟项目)。我们讨论设计决策及其结果(即权衡)对数据集的选择和选择。随后,我们提出了一系列数据建模原则和实施物联网数据市场的建议。
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CiteScore
5.20
自引率
3.70%
发文量
0
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