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An ontological framework to support evidence-based policy making using global city indicators

机译:支持使用全球城市指标制定循证决策的本体论框架

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The concept of "evidence-based policy making" (EBPM) has been gaining currency over the past decade and is being promoted by governments around the world as a mechanism for developing more effective and efficient policies and programs based on scientific evidence. Moreover, the advent of open government data, together with the increasing adoption of indicators and networked, mobile sensors that enable systematic monitoring, is making evidence-based policy-making increasingly viable - particularly within the context of "Smart Cities". However, one of the key challenges associated with EBPM is the integration and analysis of a wide range of data and knowledge (including policies, programs, targets, indicators) that are heterogeneous, unstructured and dynamic. This paper proposes a high level ontology that provides a consistent, systematic approach to evidence-based policy making within Smart Cities and helps bridge the gap between the monitoring agencies who generate the indicators and the policy-makers who consume it. The proposed EBPM ontology is evaluated in the context of an environmental case study. Challenges associated with the proposed ontological framework are identified and potential future research directions highlighted.
机译:在过去的十年中,“基于证据的决策”(EBPM)的概念日益流行,并且作为一种基于科学证据制定更有效和高效的政策和计划的机制,在全世界范围内得到了推广。此外,开放的政府数据的到来,以及越来越多地采用指标和能够进行系统监控的联网移动传感器,使得基于证据的决策越来越可行,尤其是在“智慧城市”的背景下。但是,与EBPM相关的主要挑战之一是集成和分析各种异构,非结构化和动态的数据和知识(包括政策,计划,目标,指标)。本文提出了一个高级本体,为智能城市内的循证决策提供了一致,系统的方法,并有助于弥合生成指标的监督机构与使用指标的决策者之间的鸿沟。拟议的EBPM本体是在环境案例研究的背景下进行评估的。确定了与拟议的本体框架相关的挑战,并突出了潜在的未来研究方向。

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