Using a model-driven approach in building a provenance framework for tracking policy-making processes in Smart Cities

Javed, Barkha; Khan, Zaheer; McClatchey, Richard

Abstract

The significance of provenance in various settings has emphasized its potential in the policy-making process for analytics in Smart Cities. At present, there exists no framework that can capture the provenance in a policy-making setting. This research therefore aims at defining a novel framework, namely, the Policy Cycle Provenance (PCP) Framework, to capture the provenance of the policymaking process. However, it is not straightforward to design the provenance framework due to a number of associated policy design challenges. The design challenges revealed the need for an adaptive system for tracking policies therefore a model driven approach has been considered in designing the PCP framework. Also, suitability of a networking approach is proposed for designing workflows for tracking the policy-making process.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: Proceedings of the 21st International Database Engineering & Applications Symposium on - IDEAS 2017
• Start Date: Jul 12, 2017
• End Date: Jul 14, 2017
• Acceptance Date: May 26, 2017
• Publication Date: Jul 12, 2017
• Deposit Date: Aug 10, 2017
• Journal: Proceedings of the 21st International Database Engineering & Applications Symposium on - IDEAS 2017
• Peer Reviewed: Peer Reviewed
• Pages: 66-73
• Keywords: policy cycle provenance framework, policy-making, smart; cities, provenance, model-driven, workflows
• Public URL: https://uwe-repository.worktribe.com/output/1434960
• Publisher URL: http://www.acm.org/publications
• Additional Information: Title of Conference or Conference Proceedings : Proceedings of the 21st International Database Engineering & Applications Symposium on - IDEAS 2017
• Contract Date: Aug 10, 2017