• DocumentCode
    1791852
  • Title

    MoDisSENSE: A distributed platform for social networking services over mobile devices

  • Author

    Mytilinis, Ioannis ; Giannakopoulos, Ioannis ; Konstantinou, Ioannis ; Doka, Katerina ; Koziris, Nectarios

  • Author_Institution
    Comput. Syst. Lab., Nat. Tech. Univ. of Athens, Athens, Greece
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    49
  • Lastpage
    51
  • Abstract
    In this work we present MoDisSENSE, a distributed analytics platform for social networking services over mobile devices. MoDisSENSE collects and stores various types of data from heterogeneous sources, such as GPS traces from cell phones, user profile information and comments from social networks connected to the platform. These are combined through spatio-temporal and textual analysis, performed in a distributed fashion, in order to extract knowledge, make smart suggestions and leverage user experience. The datastore follows a hybrid approach to handle both raw and processed data, simultaneously covering the need for scalability and fast query processing. Thus, the platform is able to resolve complex, multi-parameter, socially charged queries over Points of Interest in the order of milliseconds even under heavy load.
  • Keywords
    data analysis; mobile computing; mobile handsets; query processing; social networking (online); GPS traces; MoDisSENSE; cell phones; complex multiparameter socially charged queries; datastore; distributed analytics platform; heterogeneous sources; mobile devices; social networking services; spatio-temporal analysis; textual analysis; user profile information; Data collection; Distributed databases; Global Positioning System; Mobile communication; Mobile handsets; Scalability; Social network services; Geo-location Services; Points of Interest; Sentiment Analysis; Social Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2014 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/BigData.2014.7004490
  • Filename
    7004490