• DocumentCode
    720567
  • Title

    Visualizing City Events on Search Engine: Tword the Search Infrustration for Smart City

  • Author

    Wenbo Li ; Peixia Wang ; Kaifei Yang

  • Author_Institution
    Nat. Eng. Res. Center of Fundamental Software, Inst. of Software, Beijing, China
  • fYear
    2015
  • fDate
    4-7 May 2015
  • Firstpage
    1019
  • Lastpage
    1026
  • Abstract
    City big data play the central role in the whole smart city system architecture, where the search engine acts as the entrance to these big data. In this paper, we focus on the topic of events management in the city. By visualizing the search results beyond the traditional page-list manner, we can provide more valuable insight of the important events occurring in the city. Our development comprises three aspects: (i) the elementary representations of one city event. Here, two manners are proposed: one for the emergency event real time detecting & tracing, the other continuously aggregating the data to describe the event completely, (ii) the high order city event(s) representations, which extend along three directions: event summary, event drill-down and multi-events, (iii) the intelligent methods behind events visualization in the circumstance of heterogeneous data from IOT (internet of things) and web.
  • Keywords
    Big Data; Internet; Internet of Things; data visualisation; search engines; IOT; Internet of Things; city big data; city event visualization; events visualization; intelligent methods; search engine; smart city system architecture; Accidents; Cities and towns; Data visualization; Real-time systems; Search engines; Semantics; Sensors; big data; internet of things; search engine; smart city; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CCGrid.2015.98
  • Filename
    7152588