基于位置服务上的信息发布/订阅数据建模研究

Research on Data Modeling of Information Publish/Subscribe Based on LBS

目前,基于内容、主题在线发布/订阅系统的数据建模和匹配算法缺乏面向LBS的支持,因此提出基于LBS服务的信息发布/订阅数据建模。在该建模中,用户只需要订阅感兴趣的信息,就能够在当前所在位置接收订阅信息,这有效地解决现有的发布/订阅系统中数据匹配的冗余和低精度的问题。通过仿真实验,将数据模型应用于城市信息发布平台系统中。测试结果表明,该模型提高准确度,减少数据冗余,适合大规模发布/订阅应用需求。

At present,the content-based,theme-based publish/subscribe system currently has short of supporting LBS in data modeling and matching algorithm,so proposes a data modeling of information publish/subscribe based on LBS,and applies the traditional pattern of the publish/subscribe to LBS in the information service.In the model,users only need to subscribe your interested information,and then receive subscription information near your current location,and effectively solve the existing publish/subscribe system in the data matching redundancy and low accuracy of the results.Through simulation experiment,the data modeling is applied to the city information publishing platform system.The test results show that the model has a great improvement in the accuracy of matching results and reduces the data redundancy,which is suitable for large scale publish/subscribe application requirements.