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Analytical queries on semantic trajectories using graph databases

机译:使用图形数据库的语义轨迹的分析查询

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摘要

This article studies the analysis of moving object data collected by location-aware devices, such as GPS, using graph databases. Such raw trajectories can be transformed into so-called semantic trajectories, which are sequences of stops that occur at "places of interest." Trajectory data analysis can be enriched if spatial and non-spatial contextual data associated with the moving objects are taken into account, and aggregation of trajectory data can reveal hidden patterns within such data. When trajectory data are stored in relational databases, there is an "impedance mismatch" between the representation and storage models. Graphs in which the nodes and edges are annotated with properties are gaining increasing interest to model a variety of networks. Therefore, this article proposes the use of graph databases (Neo4j in this case) to represent and store trajectory data, which can thus be analyzed at different aggregation levels using graph query languages (Cypher, for Neo4j). Through a real-world public data case study, the article shows that trajectory queries are expressed more naturally on the graph-based representation than over the relational alternative, and perform better in many typical cases.
机译:本文使用图形数据库研究由位置感知设备(例如GPS)收集的移动对象数据的分析。这种原始轨迹可以转化为所谓的语义轨迹,这是在“兴趣之地”处发生的停止序列。如果考虑与移动对象相关联的空间和非空间上下文数据,则可以富集轨迹数据分析,并且轨迹数据的聚合可以揭示在这种数据中的隐藏模式。当轨迹数据存储在关系数据库中时,表示和存储模型之间存在“阻抗不匹配”。其中节点和边缘的图表具有属性的注释是增加越来越兴趣的兴趣来建模各种网络。因此,本文提出使用图形数据库(在这种情况下)来表示和存储轨迹数据,从而可以使用图形查询语言(Cypeher for neo4j)在不同的聚合级别分析。通过真实世界的公共数据库研究,文章表明,轨迹查询在基于图形的代表上更自然地表达而不是关系替代方案,并且在许多典型情况下表现更好。

著录项

  • 来源
    《Transactions in GIS: TG》 |2019年第5期|共24页
  • 作者单位

    Inst Tecnol Buenos Aires Dept Informat Engn Lavarden 389 C1437FBG Buenos Aires DF Argentina;

    UHasselt Hasselt Univ &

    Transnatl Univ Limburg Databases &

    Theoret Comp Sci Res Grp Agoralaan Gebouw D B-3590 Diepenbeek Belgium;

    Inst Tecnol Buenos Aires Dept Informat Engn Lavarden 389 C1437FBG Buenos Aires DF Argentina;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 测绘数据库与信息系统;
  • 关键词

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