基于微博位置签到数据的POI更新方法

POI的现势性对于位置服务至关重要,但传统人工实地调查效率低,现势性无法满足需求。以当前用户参与数众多的微博社交网络为数据平台,提出了一种基于微博位置签到数据的POI更新方法。首先,对微博位置签到数据进行预处理,剔除语义与空间位置不一致的噪声点,在此基础上提出一种基于RANSAC算法的位置签到数据集地理配准方法,实现位置签到数据与已有地理数据库的可靠配准;然后,将位置签到数据集与已有POI数据库进行空间分析与匹配建模,对匹配不成功的位置签到数据进行有效性验证,提取有效新增数据入库用以更新POI;最后,以武汉市的街旁网位置签到数据进行POI更新实验,能够有效地发现新增POI和消失POI,为POI快速高效更新提供了全新的方式。

Update Approach of POIs Based on Weibo Position Check-in Data

The latest tendency of POI is critical for location-based services.The traditional POIs collecting based on on-the-spot investigation is inefficient.However,the fact is that it is unable to meet the demands of the location-based service applications.In this paper,a POIs update approach based on Weibo that involved the largest number users was proposed.Firstly,by preprocessing Weibo check-in data,coarse error points that were semantically and spatially inconsistent were removed,on the basis of which,a geo-referencing method based on Weibo check-in data in RANSAC algorithm was proposed for the purpose of fulfilling reliability of Weibo position checkin data with existing geo-database.Secondly,spatial analysis and matching modeling of check-in data set and the existing POIs database was implemented.After validation of unmatched data,extraction of valid new data as an updated POI into database was implemented.Finally,a POIs update experiment of Wuhan Jiepang position checkin data was implemented with the proposed approach.The experiment results show that the proposed approach can meet the requirements and effectively find new POIs and disappeared POIs.It provides a new way to update POIs quickly and efficiently and has a good prospect of application.