Semantic Provenance for Smart Cities

Title: Semantic Provenance for Smart Cities
Contact: [email protected]
Provenance has not only demonstrated benefits for distributed systems but also in dynamic Cloud
environments [1,2]. In the Cloud, computing can be used as a utility which protects users’
investment on infrastructure and opens up big data for knowledge discovery [3]. Provenance can be
used to address challenges such as monitoring resources and determining the behaviour of Cloudbased systems. Semantic provenance in the Cloud [4] will facilitate uncovering important and hidden
information which will improve the provision of services and the utility of big data. In the context of
the ‘Smart Cities’ domain having semantic provenance information and so-called Linked Data can
provide valuable knowledge about the volume and use of city-wide information (e.g. in transport,
health, pollution control, congestion management and population movement) [5]. In the proposed
research study the CRISTAL [6] software will be evaluated and deployed in order to capture design
decisions, data usage and to track the development of new Smart City applications. CRISTAL is a
general and reconfigurable provenance tracking system which is currently being evaluated for use in
the Smart Cities domain and is being considered for the management of big data across the
BristolIsOpen (BIO see high speed urban dark fibre network.