• DocumentCode
    3028923
  • Title

    Aspects of Pervasive Information Management: An Account of the Green Move System

  • Author

    Panigati, Emanuele ; Rauseo, A. ; Schreiber, Fabio A. ; Tanca, Letizia

  • Author_Institution
    Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
  • fYear
    2012
  • fDate
    5-7 Dec. 2012
  • Firstpage
    648
  • Lastpage
    655
  • Abstract
    The Green Move project aims at realizing a zero-emission-vehicle (ZEV) sharing service that also includes pervasive information distribution. In this paper we discuss the use of context-aware techniques applied to data gathering, shared services, and information distribution, we also discuss how a context-aware approach applied to these tasks leads to the reduction of (noisy) information delivered to the users and to the personalized distribution of information. Privacy of data is also a main concern in the realization of the project, and a privacy-safe approach to information distribution and advertising is adopted. The project, grounded in many results on the use of context-awareness already published by the same authors, aims at building a real-life system based on them. Eventually, we briefly describe the rapid prototype produced and the approach employed so far for the realization of the full system.
  • Keywords
    data privacy; environmental factors; software prototyping; ubiquitous computing; Green Move project; ZEV; advertising; context-aware techniques; data gathering; data privacy; green move system; noisy information; personalized information distribution; pervasive information distribution; pervasive information management; rapid prototype; real-life system; shared services; zero-emission-vehicle; Batteries; Context; Global Positioning System; Sensor systems; Servers; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2012 IEEE 15th International Conference on
  • Conference_Location
    Nicosia
  • Print_ISBN
    978-1-4673-5165-2
  • Electronic_ISBN
    978-0-7695-4914-9
  • Type

    conf

  • DOI
    10.1109/ICCSE.2012.93
  • Filename
    6417353