基于位置服务的多维度空间信息获取与检索

项目名称： 基于位置服务的多维度空间信息获取与检索

项目编号： No.61272090

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 周立柱

作者单位： 清华大学

项目金额： 84万元

中文摘要： 随着移动网络的发展和智能手机的普及，移动搜索作为一项新兴技术，受到了越来越多的关注。基于位置的服务是移动搜索必备功能，据统计95%智能手机用户使用过基于位置的服务，50%地图搜索来源于移动用户，因此基于位置的服务得到了广泛应用。针对传统基于位置服务的方法存在的不足和缺陷，课题研究多维度空间位置信息获取与智能检索，提高检索质量，改善用户使用体验，具体研究内容包括：（1）多维度空间位置信息的获取与整合：针对传统地图数据只包含简单有限的空间信息，研究多维度信息的获取与整合，提高地图数据的质量；（2）空间和文本信息融合的智能检索：利用多维度信息，深入融合空间和文本信息，提高检索质量；（3）空间和社会网络融合的个性化检索：利用社会网络信息为用户提供个性化、精准化检索服务；（4）面向移动对象的连续关键字查询：针对移动用户的连续查询，研究高效的索引和算法来减少不必要查询，降低网络传输和手机电池能量消耗。

中文关键词： 多维度空间位置信息；空间信息获取与整合；topk检索；移动对象连续查询；

英文摘要： As an emerging technology, mobile search has attracted significant attention from both the academic and industrial community, thanks to the modern smart phones and the Internet. Location-based service is an irreplaceable functionality in mobile search. According to statistics, in December 2011, 95% smart-phone users have used location-based service and more than 50% location-based search is from mobile users. Recently, location-based service has been widely accepted by mobile users. However existing location-based search methods have some limitations and disadvantages. To address these problems, in this proposal, we propose multi-dimensional data extraction and search to improve location-based services and enhance user experiences. This proposal mainly studies the following problems. First, as traditional methods only use limited unstructured data (e.g., Point of Interests (POIs)) and cannot provide much richer structured information (e.g., price, rating, and telephone numbers for restaurants). In this proposal, we study how to extract high-quality multi-dimensional structured data for POIs from the web in order to provide users with detailed information. Second, we propose to deeply integrate the location information and textual description based on the multi-dimensional data and utilize semantics of the querie

英文关键词： spacial information；information fusion；top-k search；moving bojects query；