Cyber-physical Social System (CPSS) are complex systems that span the boundaries of the cyber, physical and social spheres. They play an important role in a variety of domains ranging from industry to smart city applications. As such, these systems necessarily need to take into account, combine and make sense of heterogeneous data sources from legacy systems, from the physical layer and also the social groups that are part of/use the system. The collection, cleansing and integration of these data sources represents a major effort not only during the operation of the system, but also during its engineering and design. Indeed, while ongoing efforts are concerned primarily with the operation of such systems, limited focus has been put on supporting the engineering phase of CPSS. To address this shortcoming, within the CitySPIN project we aim to create a platform that supports stakeholders involved in the design of these systems especially in terms of support for data management. To that end, we develop methods and techniques based on Semantic Web and Linked Data technologies for the acquisition and integration of heterogeneous data from disparate structured, semi-structured and unstructured sources, including open data and social data. In this paper we present the overall system architecturewith a core focus on data acquisition and integration.We demon-strate our approach through a prototypical implementation of an adaptive planning use case for public transportation scheduling.

The CitySpin platform: A CPSS environment for city-wide infrastructures / Azzam, A.; Aryan, P. R.; Cecconi, A.; Di Ciccio, C.; Ekaputra, F. J.; Fernandez, J.; Karampatakis, S.; Kiesling, E.; Musil, A.; Sabou, M.; Shadlau, P.; Thurner, T.. - 2530:(2019), pp. 57-64. (Intervento presentato al convegno 1st Workshop on Cyber-Physical Social Systems, CPSS 2019 tenutosi a Bilbao; Spain).

The CitySpin platform: A CPSS environment for city-wide infrastructures

Di Ciccio C.
;
Fernandez J.
;
2019

Abstract

Cyber-physical Social System (CPSS) are complex systems that span the boundaries of the cyber, physical and social spheres. They play an important role in a variety of domains ranging from industry to smart city applications. As such, these systems necessarily need to take into account, combine and make sense of heterogeneous data sources from legacy systems, from the physical layer and also the social groups that are part of/use the system. The collection, cleansing and integration of these data sources represents a major effort not only during the operation of the system, but also during its engineering and design. Indeed, while ongoing efforts are concerned primarily with the operation of such systems, limited focus has been put on supporting the engineering phase of CPSS. To address this shortcoming, within the CitySPIN project we aim to create a platform that supports stakeholders involved in the design of these systems especially in terms of support for data management. To that end, we develop methods and techniques based on Semantic Web and Linked Data technologies for the acquisition and integration of heterogeneous data from disparate structured, semi-structured and unstructured sources, including open data and social data. In this paper we present the overall system architecturewith a core focus on data acquisition and integration.We demon-strate our approach through a prototypical implementation of an adaptive planning use case for public transportation scheduling.
2019
1st Workshop on Cyber-Physical Social Systems, CPSS 2019
CPSS; Knowledge Graphs; Linked Data; Publict Transport; Smart City
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
The CitySpin platform: A CPSS environment for city-wide infrastructures / Azzam, A.; Aryan, P. R.; Cecconi, A.; Di Ciccio, C.; Ekaputra, F. J.; Fernandez, J.; Karampatakis, S.; Kiesling, E.; Musil, A.; Sabou, M.; Shadlau, P.; Thurner, T.. - 2530:(2019), pp. 57-64. (Intervento presentato al convegno 1st Workshop on Cyber-Physical Social Systems, CPSS 2019 tenutosi a Bilbao; Spain).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1362105
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