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感知和上下文感知。启用偏好和上下文感知将使基于位置的服务更方便普通用户使用，并充分利用位置检测设备、无线通信和移动计算方面的先进技术。该项目使用以下方法实现其目标：(1)定义上下文分类法并构建系统架构，以指导基于位置的查询处理器具有偏好和上下文感知；(2)用新的结构扩展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)将对环境背景（如道路网络的变化）持续变化的感知整合到查询处理器中；(6)考虑到现实生活场景中数据的不完整性和不确定性。博士生在这个项目中进行研究。本研究的出版物、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）发布。

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).