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Adapting Information using Superimposed Models and Structures

Adapting Information using Superimposed Models and Structures
使用叠加模型和结构调整信息
批准号:
0534762
负责人:
Lois Delcambre
金额:
$39.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-02-15 至 2010-01-31

项目摘要

项目成果

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中文摘要
翻译
IIS-0534762洛伊斯M.德尔坎布雷lmd@cs.pdx.eduDavid Maier(联合首席研究员)波特兰州立大学使用叠加模型和结构调整信息覆盖(覆盖概念和结构)项目处理叠加信息:信息-放置在基础源上-包含引用基础信息有用片段的标记。标记优于“复制和粘贴”的优点包括保留标记片段的上下文,使用与基本信息相关联的应用程序来解释它们,以及保留基本信息元素的多次使用之间的联系。Overcast通过以下方式拓宽了叠加信息的使用:(1)使用叠加的模型和行为丰富基本信息,(2)使标记可转移到基本内容的其他表示,(3)在叠加信息和基本信息的组合上开发丰富的转换功能,(4)拓宽可以使用叠加信息的情况,以及(5)扩展架构功能和部署选项。实验与该项目的合作伙伴合作进行,以评估叠加工具在支持各种应用程序的可用性:数字图书馆环境中的教育,自然资源管理(美国农业部林业局),研究(OGI/OHSU的环境科学学院)和临床医学(OHSU;丹麦卫生部)。更广泛的影响包括博士生、硕士生和高中生的参与;将成果纳入现有课程;妇女大力参与该项目;利用数字图书馆在教育中使用先进技术;帮助计算机用户更有效地而不仅仅是更高效地执行信息任务。项目信息可在http://www.cs.pdx.edu/datalab/overcast上查阅。
英文摘要
IIS-0534762Lois M. Delcambre lmd@cs.pdx.eduDavid Maier (Co-Principal Investigator)Portland State UniversityAdapting Information using Superimposed Models and StructuresThe Overcast (Overlaid Concepts and Structures) project deals with superimposed information: information - placed over base sources - that contains marks that reference useful fragments of base information. Advantages of marking over "copy and paste" include retaining context of marked fragments, using applications associated with the base information to interpret them, and retaining the connection among multiple uses of a base information element. Overcast widens the use of superimposed information by (1) enriching base information with superimposed models and behaviors, (2) making marks transferable to other representations of base content, (3) developing rich transformation capabilities over assemblages of superimposed and base information, (4) broadening the situations where superimposed information can be used, and (5) extending architectural capabilities and deployment options. Experiments are conducted in collaboration with the project's partners to evaluate the usability of the superimposed tools in supporting a variety of applications: education in a digital library context, natural resource management (USDA Forest Service), research (environmental science faculty at OGI/OHSU), and clinical medicine (OHSU; the Danish Healthcare Ministry). Broader impacts include involvement of PhD, MS and high-school students; integration of results in existing curriculum; strong involvement of women in the project; use of developed technology in education using digital libraries; and helping computer users perform information tasks more effectively, not just more efficiently. The project information is available at http://www.cs.pdx.edu/datalab/overcast.
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2012
  • 负责人:
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  • 依托单位:
EAGER: Full Disclosure of Data Preparation and Use in Retrospective Studies
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  • 项目类别:
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  • 批准号:
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  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.6万
  • 财政年份:
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  • 负责人:
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  • 批准号:
    0840668
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2008
  • 负责人:
    Lois Delcambre
  • 依托单位:
国内基金
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