Urban Analytics Data Infrastructure

城市分析数据基础设施

• 批准号: LE160100174
• 负责人: Prof Abbas Rajabifard
• 金额: $ 53.68万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Infrastructure, Equipment and Facilities
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-04-11 至 2017-08-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LE160100174
• 关键词: Urban; Analytics; Data; Infrastructure

Urban analytics data infrastructure: This project aims to develop an urban analytics data infrastructure that builds on the Australian Urban Research Infrastructure Network. This digital data infrastructure intends to enable the integration, harmonisation, connectivity and scalability of multi-source urban datasets. This infrastructure is required to underpin the next generation of data-driven modelling and decision-support tools to enable the design of smart, productive and resilient cities. These capabilities are predicated on the adoption of ISO standards, development of new ontological frameworks and an urban data dictionary to enable semantic inferencing of datasets and the development of data structures and services. This framework would then be applied to data relevant to people, land and urban infrastructure to support comparative and multi-dimensional analytics.

城市分析数据基础设施： 该项目旨在开发一个基于澳大利亚城市研究基础设施网络的城市分析数据基础设施。该数字数据基础设施旨在实现多源城市数据集的整合、协调、连通性和可扩展性。需要这种基础设施来支持下一代数据驱动的建模和决策支持工具，以实现智能，生产力和弹性城市的设计。这些能力的前提是采用ISO标准，开发新的本体框架和城市数据字典，以实现数据集的语义推理以及数据结构和服务的开发。这一框架随后将应用于与人、土地和城市基础设施相关的数据，以支持比较和多维分析。