Project Goals

The project’s main goals are to (i) advance the understanding of CPSSs and their design principles; (ii) provide a platform that addresses the data integration challenges in CPSSs, and (iii) validate the project findings by means of real-world use cases. To that end, the project follows a multidisciplinary approach that brings together research on CPS, Collective Intelligence Systems, Software Engineering, Linked Data, Security and Privacy, and Process Mining.

The project goals will materialize in a number of concrete, innovative results including (i) a CPSS Blueprint that will foster the understanding of CPSSs and provide a taxonomy of CPSSs and a catalogue of suitable architectural patterns; (ii) a CPSS Sandbox, i.e., a visual environment that eases CPSS design by allowing stakeholders to experiment with data processing pipelines constructed from intelligent building blocks for data acquisition, integration, and analytics; (iii) a technology stack that provides a scalable, privacy-aware data integration framework based on Linked Data technologies; and (iv) demonstrators that apply the developed methods and components to implement two use cases in the energy and transportation domain.

Illustration 1: CitySPIN conceptual components and their connections
Illustration 1: CitySPIN conceptual components and their connections

These goals will be achieved through theoretical and conceptual developments as well as a set of innovative technological components – illustrated in Illustration 1 – that support the CPSS design process in a uniform platform for key stakeholders including decision makers, project managers, software architects, and software engineers.