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Semantic Models for Information Systems

Semantic Models for Information Systems
信息系统的语义模型
批准号:
7905-2007
负责人:
Mylopoulos, John
金额:
$5.1万
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:
2010
资助国家:
加拿大
项目状态:
已结题
起止时间:
2010-01-01 至 2011-12-31

项目摘要

项目成果

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中文摘要
翻译
个人和组织现在都可以访问比以往更多的数据,从数据库到网络和数字媒体的各种来源。不幸的是,数据和信息不是一回事。为了有意义地利用这些数据,用户必须对其进行筛选、分类和结构化,并保持数据的最新状态。这样的信息管理任务对于管理者和知识工作者来说一直都很重要。随着可用数据的数量和种类不断增长,这种形式的管理将变得越来越苛刻和越来越关键。
英文摘要
Individuals and organizations alike now have access to more data than ever, from a variety of sources ranging from databases to the web and digital media. Unfortunately, data is not the same thing as information. To make meaningful use of the data, users must sift through it, classify and structure it, also maintain it current. Such information management tasks have always been important for managers and knowledge workers. As the amount and variety of available data continues to grow, this form of management will become ever more demanding and ever more critical.
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Engineering Requirements for Socio-Technical Systems
  • 批准号:
    RGPIN-2017-06067
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $7.29万
  • 财政年份:
    2021
  • 负责人:
    Mylopoulos, John
  • 依托单位:
Engineering Requirements for Socio-Technical Systems
  • 批准号:
    RGPIN-2017-06067
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.64万
  • 财政年份:
    2020
  • 负责人:
    Mylopoulos, John
  • 依托单位:
Engineering Requirements for Socio-Technical Systems
  • 批准号:
    RGPIN-2017-06067
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.64万
  • 财政年份:
    2019
  • 负责人:
    Mylopoulos, John
  • 依托单位:
Engineering Requirements for Socio-Technical Systems
  • 批准号:
    RGPIN-2017-06067
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.64万
  • 财政年份:
    2018
  • 负责人:
    Mylopoulos, John
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
新型手性NAD(P)H Models合成及生化模拟