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Information Extraction from Interconnected Data: An Algorithmic Study

Information Extraction from Interconnected Data: An Algorithmic Study
从互连数据中提取信息:算法研究
批准号:
283327-2012
负责人:
Srinivasan, Venkatesh
金额:
$1.6万
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:
2012
资助国家:
加拿大
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

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中文摘要
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英文摘要
Data in today's world is highly complex. It originates from a variety of sources, such as the web and social networks. It is diversely structured and highly dynamic. Previous methods for dealing with data stored as tables no longer apply. There is an urgent need to develop new methods of extracting information from this form of data. The research proposed here will focus on important aspects of information extraction from such data with benefits to areas such as public health (for studying disease patterns) and public policy (for preventing the spread of misinformation).
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Data Credibility, Diversity and Privacy in Large Graph Analytics
  • 批准号:
    RGPIN-2017-04039
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2022
  • 负责人:
    Srinivasan, Venkatesh
  • 依托单位:
Data Credibility, Diversity and Privacy in Large Graph Analytics
  • 批准号:
    RGPIN-2017-04039
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2021
  • 负责人:
    Srinivasan, Venkatesh
  • 依托单位:
Data Credibility, Diversity and Privacy in Large Graph Analytics
  • 批准号:
    RGPIN-2017-04039
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2020
  • 负责人:
    Srinivasan, Venkatesh
  • 依托单位:
Data Credibility, Diversity and Privacy in Large Graph Analytics
  • 批准号:
    RGPIN-2017-04039
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2019
  • 负责人:
    Srinivasan, Venkatesh
  • 依托单位:
海外基金