Managing data of sensor-equipped transportation networks using graph databases

HIGHLIGHTS

• What: Geographical information systems are used to gather store and analyse and the authors focus on these tasks in the context of emerging from transportation networks equipped with sensors. The authors propose a language for querying these property graphs with time series in which time series and measurement patterns may be combined with graph patterns to describe retrieve and analyse real-life situations. The authors demonstrate the model and language in practice by implementing both in Neo4j and explore questions hydrology researchers pose in the context of the Internet of Water including salinity analysis in the Yser . . .
  

   

  

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