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

该项目的目标是将现有的基于位置的服务转变为偏好和上下文感知服务。启用偏好和情景感知将使基于位置的服务更便于临时用户使用，并最大限度地利用位置检测设备、无线通信和移动计算方面的技术进步。该项目使用以下方法来实现其目标：(1)定义上下文分类并构建系统体系结构以指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)将对环境上下文的持续变化的感知集成到查询处理器中，(6)考虑现实生活场景中数据的不完全性和不确定性。博士生在这个项目中进行研究。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/~mokbel/ContextAware).)传播

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).