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

Javed, Barkha; Khan, Zaheer; McClatchey, Richard

Authors

Barkha Javed

Zaheer Khan Zaheer2.Khan@uwe.ac.uk
Professor in Computer Science



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.

Citation

Javed, B., Khan, Z., & McClatchey, R. (2017, July). Using a model-driven approach in building a provenance framework for tracking policy-making processes in Smart Cities. Paper presented at Proceedings of the 21st International Database Engineering & Applications Symposium on - IDEAS 2017, University of the West of England, Bristol, UK

Presentation Conference Type Conference Paper (unpublished)
Conference Name Proceedings of the 21st International Database Engineering & Applications Symposium on - IDEAS 2017
Conference Location University of the West of England, Bristol, UK
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
Publicly Available Date Mar 29, 2024
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