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
