TY - GEN
T1 - The CitySPIN Platform: A CPSS Environment for City-Wide Infrastructures
AU - Azzam, Amr
AU - Aryan, Peb Ruswono
AU - Cecconi, Alessio
AU - Di Ciccio, Claudio
AU - Ekaputra, Fajar J.
AU - Fernández, Javier D.
AU - Karampatakis, Sotiris
AU - Kiesling, Elmar
AU - Musil, Angelika
AU - Sabou, Marta
AU - Shadlau, Pujan
AU - Thurner, Thomas
PY - 2019/10
Y1 - 2019/10
N2 - 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 architecture with a core focus on data acquisition and integration. We demonstrate our approach through a prototypical implementation of an adaptive planning use case for public transportation scheduling.
AB - 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 architecture with a core focus on data acquisition and integration. We demonstrate our approach through a prototypical implementation of an adaptive planning use case for public transportation scheduling.
M3 - Conference contribution
VL - 2530
T3 - CEUR Workshop Proceedings
SP - 57
EP - 64
BT - Proceedings of the 1st Workshop on Cyber-Physical Social Systems co-located with the 9th International Conference on the Internet of Things (IoT 2019), Bilbao, Spain, October 22, 2019
A2 - Longo, Antonella
A2 - Fazio, Maria
A2 - Ranjan, Rajiv
A2 - Zappatore, Marco
PB - CEUR WS
ER -