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arXiv · 1803.06839

Using a Model-driven Approach in Building a Provenance Framework for Tracking Policy-making Processes in Smart Cities

Barkha Javed·Zaheer Khan·Richard McClatchey
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Abstract

The significance of provenance in various settings has emphasised 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 policy-making 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.

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Barkha Javed, Zaheer Khan, Richard McClatchey. 2018-03-19. Using a Model-driven Approach in Building a Provenance Framework for Tracking Policy-making Processes in Smart Cities. https://doi.org/10.1145/3105831.3105849

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