CAREER: Distributed Cooperative Digital Archives for Scientific and Geospatial Data

职业：科学和地理空间数据的分布式合作数字档案

• 批准号: 9876037
• 负责人: Bongki Moon
• 金额: $ 25.9万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-04-15 至 2004-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9876037&HistoricalAwards=false
• 关键词: CAREER; Distributed; Cooperative; Digital; Archives

During the past few years, many data-intensive applications have posed new challenges concerning storing, searching, querying, and retrieving large-scale complex data such as medical or satellite imagery, geographical and scientific data. With the increasing popularity of the Internet and the World Wide Web (WWW), there is a fast growing need to make such data accessible through the Internet. The Distributed Cooperative Digital Archives (DCDA) research builds a framework to make such scientific and geospatial data discoverable and retrievable on the Internet. This approach is to enable a collection of independent data archives to share the load in order to enhance their collective system performance, while allowing individual archives to remain under the control of the corresponding data producers. This approach also integrates database support and web servers to provide scalable data retrieval and indexability. The issues being addressed in this research include: dynamic migration and replication of web documents, automated processing of web documents for database support, fast web-database connection, and web-enabled declustering of large-scale scientific and geospatial data. The results of this research include new algorithms, software tools and prototype system implementations for significant performance improvements in data delivery, searchability and scalability of servers. The educational goal of this research is to integrate the research tasks into a curriculum for teaching Web/Internet information processing to support meaningful research training for students. Additional effort is to develop and strengthen project-driven learning and web-enabled teaching environment to stimulate students' motivation for self-learning and problem solving skills.

在过去的几年里，许多数据密集型应用对存储、搜索、查询和检索大规模复杂数据(如医学或卫星图像、地理和科学数据)提出了新的挑战。随着互联网和万维网(WWW)的日益普及，通过互联网访问这些数据的需求迅速增长。分布式合作数字档案馆(DCDA)研究建立了一个框架，使此类科学和地理空间数据能够在互联网上被发现和检索。这种办法是使一组独立的数据档案馆能够分担负担，以提高其集体系统性能，同时允许个别档案馆保持在相应数据生产者的控制之下。该方法还集成了数据库支持和Web服务器，以提供可伸缩的数据检索和索引性。这项研究涉及的问题包括：网络文档的动态迁移和复制、用于数据库支持的网络文档的自动处理、快速的网络数据库连接以及大规模科学和地理空间数据的网络分散。这项研究的结果包括新的算法、软件工具和原型系统实现，以显著提高服务器的数据交付、可搜索性和可伸缩性的性能。本研究的教育目标是将研究任务整合到Web/Internet信息处理教学课程中，以支持对学生进行有意义的研究训练。另一项工作是发展和加强项目导向学习和网上教学环境，以激发学生的自学动机和解决问题的能力。