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: $ 39万
• 依托单位: Portland State University
• 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
• 起止时间: 2006-02-15 至 2010-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0534762&HistoricalAwards=false
• 关键词: Adapting; Information; using; Superimposed; Models

IIS-0534762Lois M. Delcambre [e-mail] 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.

IIS-0534762Lois M. Delcambre [e-mail] 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Overcast（叠加概念和结构）项目处理叠加信息：信息 - 放置在基础源上 - 即包含引用基本信息的有用片段的标记。标记相对于“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来解释它们、以及保留基本信息元素的多次使用之间的连接。 Overcast 通过以下方式拓宽了叠加信息的使用：(1) 通过叠加模型和行为丰富基础信息，(2) 使标记可转移到基础内容的其他表示形式，(3) 对叠加和基础信息的组合开发丰富的转换能力，(4 ) 拓宽叠加信息的使用范围，以及 (5) 扩展架构功能和部署选项。与项目合作伙伴合作进行实验，以评估叠加工具在支持各种应用方面的可用性：数字图书馆背景下的教育、自然资源管理（美国农业部林务局）、研究（OGI/OHSU 的环境科学系） 、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发达的技术；帮助计算机用户更有效地执行信息任务，而不仅仅是更有效率。该项目信息可在 http://www.cs.pdx.edu/datalab/overcast 上获取。