Managing and querying heterogenous and evolving data

管理和查询异构和不断变化的数据

• 批准号: 341822-2007
• 负责人: Pu, KenQian
• 金额: $ 1.24万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=458596
• 关键词: Managing; querying; heterogenous; evolving; data

In recent years, modern information systems have evolved in fundamental ways. As opposed to the traditional client-server architecture of data warehouses, modern informations systems consists of large volumes of distributed data sources, all connected by the Internet. Aside from being distributed, the data sources are also evolving, with their schemas updated frequently and asynchronously. Today's information systems are also heterogeneous. Beyond traditional databases, there is an emergence of novel sources of data. They include real-time streamed data, data services, sensor and radio frequency identification (RFID) readings.

近年来，现代信息系统在根本上发生了变化。与传统的数据仓库的客户-服务器体系结构不同，现代信息系统由大量分布的数据源组成，所有这些数据源都通过互联网连接。除了分布式之外，数据源也在不断发展，其模式也在频繁和异步地更新。今天的信息系统也是多种多样的。除了传统的数据库，还出现了新的数据来源。它们包括实时流数据、数据服务、传感器和射频识别(RFID)读数。