ITR/IM: Enabling the Creation and Use of GeoGrids for Next Generation Geospatial Information

ITR/IM：支持创建和使用 GeoGrid 来获取下一代地理空间信息

• 批准号: 0121269
• 负责人: Peggy Agouris
• 金额: $ 150万
• 依托单位: University of Maine
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0121269&HistoricalAwards=false
• 关键词: ITR; IM; Enabling; Creation; Use

The objective of this project is to advance science in information management, focusing in particular on geospatial information. It addresses the development of concepts, algorithms, and system architectures to enable users on a grid to query, analyze, and contribute to multivariate, quality-aware geospatial information. The approach consists of three complementary research areas: (1) establishing a statistical framework for assessing geospatial data quality; (2) developing uncertainty-based query processing capabilities; and (3) supporting the development of space- and accuracy-aware adaptive systems for geospatial datasets. The results of this project will support the extension of the concept of the computational grid to facilitate ubiquitous access, interaction, and contributions of quality-aware next generation geospatial information. By developing novel query processes as well as quality and similarity metrics the project aims to enable the integration and use of large collections of disperse information of varying quality and accuracy. This supports the evolution of a novel geocomputational paradigm, moving away from current standards-driven approaches to an inclusive, adaptive system, with example potential applications in mobile computing, bioinformatics, and geographic information systems. This experimental research is linked to educational activities in three different academic programs among the three participating sites. The outreach activities of this project include collaboration with U.S. federal agencies involved in geospatial data collection, an international partner (Brazil's National Institute for Space Research), and the organization of a 2-day workshop with the participation of U.S. and international experts.

该项目的目标是促进信息管理的科学，特别是地理空间信息。它解决了概念、算法和系统体系结构的发展，使网格上的用户能够查询、分析和贡献多元的、有质量意识的地理空间信息。该办法由三个相辅相成的研究领域组成：(1)建立评估地理空间数据质量的统计框架；(2)发展基于不确定性的查询处理能力；(3)支持为地理空间数据集开发具有空间和精度意识的适应性系统。该项目的成果将支持计算网格概念的扩展，以促进有质量意识的下一代地理空间信息的无处不在的访问、交互和贡献。通过开发新的查询流程以及质量和相似性衡量标准，该项目的目的是能够整合和使用各种质量和准确性的大量分散信息。这支持了一种新的地球计算范式的演变，从目前的标准驱动的方法转向包容性的、自适应的系统，例如在移动计算、生物信息学和地理信息系统中的潜在应用。这项实验研究与三个参与地点中三个不同学术项目的教育活动相联系。该项目的外联活动包括与参与地理空间数据收集的美国联邦机构、一个国际伙伴(巴西国家空间研究所)合作，以及组织一个有美国和国际专家参加的为期两天的讲习班。