Smart City Gnosys
Smart city article details
| Title | A Unified Knowledge Model For Managing Smart City/Iot Platform Entities For Multitenant Scenarios |
|---|---|
| ID_Doc | 5713 |
| Authors | Bellini P.; Bologna D.; Nesi P.; Pantaleo G. |
| Year | 2024 |
| Published | Smart Cities, 7, 5 |
| DOI | http://dx.doi.org/10.3390/smartcities7050092 |
| Abstract | Highlights: What are the main findings? Early identification of causes for problems and dysfunctions at their inception in large multitenant smart city infrastructures. Maintain references to data, processes, and APIs to add/develop new scenarios in the infrastructure, minimizing effort in complex applications. What are the implications of the main finding? Increased scalability of large smart city infrastructures. Increment of maintainability of multiple applications that are sharing the same data pool. Smart city/IoT frameworks are becoming more complex for the needs regarding multi-tenancy, data streams, real-time event-driven processing, data, and visual analytics. The infrastructures also need to support multiple organizations and optimizations in terms of data, processes/services, and tools cross-exploited by multiple applications and developers. In this paper, we addressed these needs to provide platform operators and developers effective models and tools to: (i) identify the causes of problems and dysfunctions at their inception; (ii) identify references to data, processes, and APIs to add/develop new scenarios in the infrastructure, minimizing effort; (iii) monitor resources and the work performed by developers to exploit the complex multi-application platform. To this end, we developed a semantic unified knowledge model, UKM, and a number of tools for its implementation and exploitation. The UKM, with its inferences, allows to browse and extract information from complex relationships among entities. The proposed solution has been designed, implemented, and validated in the context of the open source Snap4City.org platform and applied in many geographical areas with 18 organizations, 40 cities, thousands of operators and developers, and free trials to keep platform complexity under control, as in the interconnected scenarios of the Herit-Data Interreg Project, which is a lighthouse project of the European Commission. © 2024 by the authors. |
| Author Keywords | artificial intelligence; data and knowledge visualization; formal models; knowledge and data engineering tools and techniques; knowledge management applications; knowledge model; microservice architectures; smart city |
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