González Víctor, Martín Laura, Santana Juan Ramón, Sotres Pablo, Lanza Jorge, Sánchez Luis
Network Planning and Mobile Communications Laboratory, Universidad de Cantabria, 39005 Santander, Spain.
Sensors (Basel). 2024 Mar 14;24(6):1858. doi: 10.3390/s24061858.
The vast amount of information stemming from the deployment of the Internet of Things and open data portals is poised to provide significant benefits for both the private and public sectors, such as the development of value-added services or an increase in the efficiency of public services. This is further enhanced due to the potential of semantic information models such as NGSI-LD, which enable the enrichment and linkage of semantic data, strengthened by the contextual information present by definition. In this scenario, advanced data processing techniques need to be defined and developed for the processing of harmonised datasets and data streams. Our work is based on a structured approach that leverages the principles of linked-data modelling and semantics, as well as a data enrichment toolchain framework developed around NGSI-LD. Within this framework, we reveal the potential for enrichment and linkage techniques to reshape how data are exploited in smart cities, with a particular focus on citizen-centred initiatives. Moreover, we showcase the effectiveness of these data processing techniques through specific examples of entity transformations. The findings, which focus on improving data comprehension and bolstering smart city advancements, set the stage for the future exploration and refinement of the symbiosis between semantic data and smart city ecosystems.
物联网和开放数据门户的部署所产生的大量信息有望为私营和公共部门带来显著益处，例如增值服务的开发或公共服务效率的提高。由于诸如NGSI-LD之类的语义信息模型的潜力，这种情况进一步得到加强，这些模型能够实现语义数据的丰富和链接，并通过定义中存在的上下文信息得到强化。在这种情况下，需要定义和开发先进的数据处理技术来处理统一的数据集和数据流。我们的工作基于一种结构化方法，该方法利用链接数据建模和语义的原则，以及围绕NGSI-LD开发的数据丰富工具链框架。在此框架内，我们揭示了丰富和链接技术在重塑智慧城市中数据利用方式方面的潜力，特别关注以公民为中心的举措。此外，我们通过实体转换的具体示例展示了这些数据处理技术的有效性。这些专注于提高数据理解和推动智慧城市进步的研究结果，为未来探索和完善语义数据与智慧城市生态系统之间的共生关系奠定了基础。
