A Unified Knowledge Model for Managing Smart City/IoT Platform Entities for Multitenant Scenarios

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 cr...

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Published in:Smart cities (Basel) Vol. 7; no. 5; pp. 2339 - 2365
Main Authors: Bellini, Pierfrancesco, Bologna, Daniele, Nesi, Paolo, Pantaleo, Gianni
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.10.2024
Subjects:
Artificial intelligence
Cities
Complexity
Cost control
data and knowledge visualization
Data transmission
Digital twins
Infrastructure
Internet of Things
knowledge and data engineering tools and techniques
Knowledge management
knowledge management applications
knowledge model
Lighthouses
Maintainability
microservice architectures
Open data
Operators
Organizations
Real time
Smart cities
smart city
ISSN:2624-6511, 2624-6511
Online Access:Get full text
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Abstract 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.
AbstractList HighlightsWhat 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.AbstractSmart 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.
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.
Author Nesi, Paolo
Bellini, Pierfrancesco
Pantaleo, Gianni
Bologna, Daniele
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Snippet Smart city/IoT frameworks are becoming more complex for the needs regarding multi-tenancy, data streams, real-time event-driven processing, data, and visual...
HighlightsWhat are the main findings?○Early identification of causes for problems and dysfunctions at their inception in large multitenant smart city...
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SubjectTerms Artificial intelligence
Cities
Complexity
Cost control
data and knowledge visualization
Data transmission
Digital twins
Infrastructure
Internet of Things
knowledge and data engineering tools and techniques
Knowledge management
knowledge management applications
knowledge model
Lighthouses
Maintainability
microservice architectures
Open data
Operators
Organizations
Real time
Smart cities
smart city
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Title A Unified Knowledge Model for Managing Smart City/IoT Platform Entities for Multitenant Scenarios
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