一种基于本体的交通大数据分析框架

A Kind of Traffic Data Analysis Framework Based on Ontology

随着城市交通数据信息的日益增多,对交通数据的分析变得越加困难。现有的交通大数据分析面临对大量分散且异构的数据信息进行过滤、筛选以及整合等难题。因此,该文通过在路网拓扑、道路交通对象和道路交通信息三个层次对交通数据相互关系进行描述,并使之关联交通大数据存储信息,构建面向交通大数据的城市道路交通本体模型,提出了一种基于本体的交通大数据分析框架。该框架中以城市道路交通本体为语义规范制定映射文件,利用Jena开发工具构建城市道路交通本体库,为大数据分析的多源多维数据关联分析及知识挖掘提供语义查询支持。该框架能够根据交通分析需求快速有效地找到目标数据,在大数据分析与大数据存储之间起到了逻辑关联的作用,对现有交通数据分析具有重要意义。

With the increasing of urban traffic data information, the analysis of traffic data becomes more difficult. Existing traffic data analysis faces problems of filtering, screening and integration of a large number of dispersed and heterogeneous data information. Therefore, this paper proposes a traffic data analysis framework based on ontology by building ontology model for traffic data of urban road traffic .The ontology model describe the relationship between data through network topology, the object of road traffic and road traffic information and related storage information of transport large data.The framework uses urban road traffic ontology as mapping file for semantic specification, and uses Jena development tools make an ontology construction of urban road traffic, for big data analysis of multi-source multi-dimension data correlation analysis and knowledge discovery with semantic query support. The scheme can find the target data based on the analysis of traffic demand quickly and efficient- ly, and have played an important role in logic between big data analysis and data storage.It is of great significance to the existing traffic data analysis.