RUI: Modeling Uncertainty in Database and Knowledge-Base Systems

RUI：数据库和知识库系统中的不确定性建模

• 批准号: 9424628
• 负责人: Fereidoon Sadri
• 金额: $ 10.07万
• 依托单位: University of North Carolina Greensboro
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-07-01 至 1998-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9424628&HistoricalAwards=false
• 关键词: RUI; Modeling; Uncertainty; Database; Knowledge

This research is concerned with the modeling and manipulation of uncertain and inaccurate information in database systems. Database systems are evolving into knowledge-base systems, and are increasingly used in applications where handling uncertain and inaccurate data is essential. The research objectives include: (1) Extending existing methods for the modeling and management of uncertain and inaccurate data to contemporary database models such as object-oriented databases, (2) investigating techniques of combining information obtained from different sources and characterizing the application domains suitable for each technique, (3) devising methods to estimate and update credibility of information sources, and (4) applying these techniques to the extraction of useful information from large volumes of data. The results of this research can be used in realizing more intelligent database and knowledge-base systems that are suitable for applications that require handling uncertain and inaccurate information such as medical, legal and military applications.

这项研究涉及数据库系统中不确定和不准确信息的建模和操纵。数据库系统正在发展为知识基础系统，并且越来越多地用于处理不确定和不准确数据至关重要的应用程序。研究目标包括：（1）扩展现有的方法，用于建模和管理不确定和不准确的数据到当代数据库模型，例如面向对象的数据库，（2）调查从不同源获得的组合信息的技术，并表征适用于应用领域的信息。对于每种技术，（3）设计方法来估计和更新信息源的信誉，（4）将这些技术应用于从大量数据中提取有用信息的情况下。这项研究的结果可用于实现更智能的数据库和知识库系统，这些系统适用于需要处理不确定和不准确的信息，例如医疗，法律和军事应用。