FET03 Title: Semantic Provenance for Smart Cities Contact: [email protected] Project: 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 . Provenance can be used to address challenges such as monitoring resources and determining the behaviour of Cloudbased systems. Semantic provenance in the Cloud  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) . In the proposed research study the CRISTAL  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 www.bristolisopen.com) high speed urban dark fibre network.