III-COR-Small: Collaborative Research: Preference- And Context-Aware Query Processing for Location-based Database Servers

III-COR-Small：协作研究：基于位置的数据库服务器的偏好和上下文感知查询处理

• 批准号: 0811954
• 负责人: Walid Aref
• 金额: $ 19.29万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0811954&HistoricalAwards=false
• 关键词: III; COR; Small; Collaborative; Research

The goal of this project is to turn existing location-based services to be preference- and context-aware. Enabling preference- and context-awareness will make location-based services more convenient to use by casual users and make the best use of technology advances in location-detection devices, wireless communication, and mobile computing. The project achieves its goals using the following approaches: (1) define a context taxonomy and build a system architecture to guide location-based query processors to be preference- and context-aware, (2) extend the SQL language with new constructs to define/manipulate preference and context, (3) develop new query processing techniques that integrate user preferences, user context, and database context, (4) develop query processing techniques that can make use of the surrounding user peers, (5) integrate the awareness of the continuous changes in the environmental context, like changes in the road network, into query processors, and (6) take into account data incompleteness and uncertainty in real life scenarios. PhD students pursue research in this project. Publications, technical reports, software and experimental data from this research will be disseminated via the project web site (http://www.cs.umn.edu/~mokbel/ContextAware).

该项目的目标是将现有的基于位置的服务变成偏好和上下文感知。启用偏好和上下文感知将使临时用户更方便地使用基于位置的服务，并充分利用位置检测设备、无线通信和移动的计算方面的技术进步。该项目通过以下方法实现其目标：（1）定义上下文分类并构建系统体系结构以引导基于位置的查询处理器是偏好和上下文感知的，（2）用新的构造来扩展SQL语言以定义/操纵偏好和上下文，（3）开发集成用户偏好、用户上下文和数据库上下文的新的查询处理技术，（4）开发可以利用周围用户对等体的查询处理技术，（5）将对环境上下文中的连续变化（如道路网络中的变化）的感知集成到查询处理器中，以及（6）考虑真实的生活场景中的数据不完整性和不确定性。博士生在该项目中进行研究。这项研究的出版物、技术报告、软件和实验数据将通过项目网站（http：//www.cs.umn.edu/tummokbel/ContextAware）传播。