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.

lois M. Delcambre [e-mail] Maier（联合首席研究员）Portland State university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-放置在基础来源上-包含参考有用基础信息片段的标记。与“复制和粘贴”相比，标记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种使用之间的连接。Overcast通过(1)用叠加的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，(3)在叠加和基础信息的集合上开发丰富的转换能力，(4)扩展可以使用叠加信息的情况，以及(5)扩展体系结构能力和部署选项，扩大了叠加信息的使用范围。与该项目的合作伙伴合作进行了实验，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的环境科学教师）和临床医学（OHSU；丹麦卫生部）。更广泛的影响包括博士、硕士和高中生的参与；整合现有课程的成果；妇女大力参与项目；利用数码图书馆在教育中应用先进科技；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。项目信息可在http://www.cs.pdx.edu/datalab/overcast上获得。