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e-City platform: knowledge supply chains for context-aware, multi-project sustainability analysis of sustainable infrastrucutre systems

e-City platform: knowledge supply chains for context-aware, multi-project sustainability analysis of sustainable infrastrucutre systems
电子城市平台:用于可持续基础设施系统的情境感知、多项目可持续性分析的知识供应链
批准号:
239982-2011
负责人:
ElDiraby, Tamer
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
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英文摘要
The proposed research program aims to create an e-city platform for knowledge brokerage in the green city. The platform will allow presenting contextual knowledge of each and provide a venue for creating knowledge supply chains to harness the collective intelligence of knowledge hubs to manage multi-project sustainability analysis. Knowledge of participating hubs will be presented in three dimensions: human profile, process structures, and software systems. These three facets of knowledge will be accessible through self-describing mechanisms. Cities can post their geospatial data along with their sustainability analysis bids online. Social networking, work flow automation and software interoperability protocols will be used to match the knowledge facets of participating hubs, reconcile contextual differences and build dynamic, scalable, distributed knowledge supply chains to conduct the analysis.
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Knowledge Networks For Decision Making in Infrastructure Asset Management
  • 批准号:
    RGPIN-2017-06675
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 财政年份:
    2021
  • 负责人:
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Social- Semantic Analysis of Social Media Interactions to assess customer satisfaction in transit agencies
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
    ElDiraby, Tamer
  • 依托单位:
Knowledge Networks For Decision Making in Infrastructure Asset Management
  • 批准号:
    RGPIN-2017-06675
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 批准号:
    552122-2020
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2020
  • 负责人:
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国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information