ITR/IM: Handling Uncertainty in Spatial Databases

ITR/IM：处理空间数据库中的不确定性

• 批准号: 0114036
• 负责人: Bir Bhanu
• 金额: $ 30万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0114036&HistoricalAwards=false
• 关键词: ITR; IM; Handling; Uncertainty; Spatial

The goal of this research project is to develop new techniques to handle uncertainty in object-oriented dynamic databases. The approach consists of developing a new data model and associated algebra; developing query optimization techniques for inexact queries; and development of indexing methods to support probabilistic uncertainty in dynamic databases. This research effort develops new theory, tools and technology to support various types of probabilistic uncertainty in object-oriented dynamic databases. The experimental research is linked to spatial databases with applications in the field of Geographic Information Systems. By adding support for uncertainty in database management systems, this research project will substantially increase the power and flexibility of database management in a broad class of business, social, scientific and engineering endeavors where uncertainty is measured and used. http://www.vislab.ucr.edu/intro.html

该研究项目的目的是开发新技术来处理面向对象的动态数据库中的不确定性。该方法包括开发一个新的数据模型和相关的代数；开发针对不精确查询的查询优化技术；以及开发索引方法，以支持动态数据库中的概率不确定性。这项研究工作开发了新的理论，工具和技术，以支持面向对象的动态数据库中各种类型的概率不确定性。实验研究与空间数据库有关，该数据库具有地理信息系统领域的应用。通过增加对数据库管理系统中不确定性的支持，该研究项目将大大提高数据库管理的功能和灵活性，以衡量和使用不确定性，在广泛的业务，社会，科学和工程努力中。 http://www.vislab.ucr.edu/intro.html